End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +672 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: Qwen/Qwen2.5-Coder-14B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: SWE-BENCH-5k-first-2000-claude-search-replace-generation_qwen_code_14b_5k_first_2000_generation
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# SWE-BENCH-5k-first-2000-claude-search-replace-generation_qwen_code_14b_5k_first_2000_generation
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-Coder-14B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: SWE-BENCH-5k-first-2000-claude-search-replace-generation_qwen_code_14b_5k_first_2000_generation
|
|
|
|
| 16 |
|
| 17 |
# SWE-BENCH-5k-first-2000-claude-search-replace-generation_qwen_code_14b_5k_first_2000_generation
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on the SWE-BENCH-5k-first-2000-claude-search-replace-generation dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9916897506925206,
|
| 3 |
+
"total_flos": 6.786493896982528e+16,
|
| 4 |
+
"train_loss": 0.4722738567325804,
|
| 5 |
+
"train_runtime": 13326.5194,
|
| 6 |
+
"train_samples_per_second": 0.325,
|
| 7 |
+
"train_steps_per_second": 0.007
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9916897506925206,
|
| 3 |
+
"total_flos": 6.786493896982528e+16,
|
| 4 |
+
"train_loss": 0.4722738567325804,
|
| 5 |
+
"train_runtime": 13326.5194,
|
| 6 |
+
"train_samples_per_second": 0.325,
|
| 7 |
+
"train_steps_per_second": 0.007
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,672 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9916897506925206,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 90,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0332409972299169,
|
| 13 |
+
"grad_norm": 1.3523818254470825,
|
| 14 |
+
"learning_rate": 1.111111111111111e-06,
|
| 15 |
+
"loss": 0.6805,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0664819944598338,
|
| 20 |
+
"grad_norm": 1.467878818511963,
|
| 21 |
+
"learning_rate": 2.222222222222222e-06,
|
| 22 |
+
"loss": 0.7126,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0997229916897507,
|
| 27 |
+
"grad_norm": 1.3939130306243896,
|
| 28 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 29 |
+
"loss": 0.6845,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.1329639889196676,
|
| 34 |
+
"grad_norm": 1.1881986856460571,
|
| 35 |
+
"learning_rate": 4.444444444444444e-06,
|
| 36 |
+
"loss": 0.6266,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16620498614958448,
|
| 41 |
+
"grad_norm": 1.1864044666290283,
|
| 42 |
+
"learning_rate": 5.555555555555557e-06,
|
| 43 |
+
"loss": 0.6882,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1994459833795014,
|
| 48 |
+
"grad_norm": 0.8443530201911926,
|
| 49 |
+
"learning_rate": 6.666666666666667e-06,
|
| 50 |
+
"loss": 0.6415,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.23268698060941828,
|
| 55 |
+
"grad_norm": 0.739067018032074,
|
| 56 |
+
"learning_rate": 7.77777777777778e-06,
|
| 57 |
+
"loss": 0.6089,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.2659279778393352,
|
| 62 |
+
"grad_norm": 0.8895483613014221,
|
| 63 |
+
"learning_rate": 8.888888888888888e-06,
|
| 64 |
+
"loss": 0.6387,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.29916897506925205,
|
| 69 |
+
"grad_norm": 0.7306845188140869,
|
| 70 |
+
"learning_rate": 1e-05,
|
| 71 |
+
"loss": 0.6311,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.33240997229916897,
|
| 76 |
+
"grad_norm": 0.8551097512245178,
|
| 77 |
+
"learning_rate": 9.996239762521152e-06,
|
| 78 |
+
"loss": 0.5691,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.3656509695290859,
|
| 83 |
+
"grad_norm": 0.7852718234062195,
|
| 84 |
+
"learning_rate": 9.98496470583896e-06,
|
| 85 |
+
"loss": 0.5585,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.3988919667590028,
|
| 90 |
+
"grad_norm": 0.6744587421417236,
|
| 91 |
+
"learning_rate": 9.966191788709716e-06,
|
| 92 |
+
"loss": 0.5555,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.43213296398891965,
|
| 97 |
+
"grad_norm": 0.5322245359420776,
|
| 98 |
+
"learning_rate": 9.939949247384046e-06,
|
| 99 |
+
"loss": 0.5708,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.46537396121883656,
|
| 104 |
+
"grad_norm": 0.634617805480957,
|
| 105 |
+
"learning_rate": 9.906276553136924e-06,
|
| 106 |
+
"loss": 0.5744,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.4986149584487535,
|
| 111 |
+
"grad_norm": 0.5223730206489563,
|
| 112 |
+
"learning_rate": 9.86522435289912e-06,
|
| 113 |
+
"loss": 0.5239,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.5318559556786704,
|
| 118 |
+
"grad_norm": 0.5203894972801208,
|
| 119 |
+
"learning_rate": 9.816854393079402e-06,
|
| 120 |
+
"loss": 0.5386,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.5650969529085873,
|
| 125 |
+
"grad_norm": 0.4948791563510895,
|
| 126 |
+
"learning_rate": 9.761239426692077e-06,
|
| 127 |
+
"loss": 0.5192,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5983379501385041,
|
| 132 |
+
"grad_norm": 0.47360560297966003,
|
| 133 |
+
"learning_rate": 9.698463103929542e-06,
|
| 134 |
+
"loss": 0.5328,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.631578947368421,
|
| 139 |
+
"grad_norm": 0.47556865215301514,
|
| 140 |
+
"learning_rate": 9.628619846344453e-06,
|
| 141 |
+
"loss": 0.5252,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6648199445983379,
|
| 146 |
+
"grad_norm": 0.46637672185897827,
|
| 147 |
+
"learning_rate": 9.551814704830734e-06,
|
| 148 |
+
"loss": 0.5394,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6980609418282548,
|
| 153 |
+
"grad_norm": 0.408130407333374,
|
| 154 |
+
"learning_rate": 9.468163201617063e-06,
|
| 155 |
+
"loss": 0.4791,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.7313019390581718,
|
| 160 |
+
"grad_norm": 0.4232206642627716,
|
| 161 |
+
"learning_rate": 9.377791156510456e-06,
|
| 162 |
+
"loss": 0.5604,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.7645429362880887,
|
| 167 |
+
"grad_norm": 0.4065282642841339,
|
| 168 |
+
"learning_rate": 9.280834497651334e-06,
|
| 169 |
+
"loss": 0.5219,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7977839335180056,
|
| 174 |
+
"grad_norm": 0.42849838733673096,
|
| 175 |
+
"learning_rate": 9.177439057064684e-06,
|
| 176 |
+
"loss": 0.5247,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8310249307479224,
|
| 181 |
+
"grad_norm": 0.4445164203643799,
|
| 182 |
+
"learning_rate": 9.067760351314838e-06,
|
| 183 |
+
"loss": 0.5421,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.8642659279778393,
|
| 188 |
+
"grad_norm": 0.4322611689567566,
|
| 189 |
+
"learning_rate": 8.951963347593797e-06,
|
| 190 |
+
"loss": 0.5349,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8975069252077562,
|
| 195 |
+
"grad_norm": 0.42110881209373474,
|
| 196 |
+
"learning_rate": 8.83022221559489e-06,
|
| 197 |
+
"loss": 0.5179,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.9307479224376731,
|
| 202 |
+
"grad_norm": 0.44587212800979614,
|
| 203 |
+
"learning_rate": 8.702720065545024e-06,
|
| 204 |
+
"loss": 0.5687,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.96398891966759,
|
| 209 |
+
"grad_norm": 0.40205827355384827,
|
| 210 |
+
"learning_rate": 8.569648672789496e-06,
|
| 211 |
+
"loss": 0.5441,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.997229916897507,
|
| 216 |
+
"grad_norm": 0.4229365885257721,
|
| 217 |
+
"learning_rate": 8.43120818934367e-06,
|
| 218 |
+
"loss": 0.5823,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.0304709141274238,
|
| 223 |
+
"grad_norm": 1.2778958082199097,
|
| 224 |
+
"learning_rate": 8.28760684284532e-06,
|
| 225 |
+
"loss": 0.8967,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.0637119113573408,
|
| 230 |
+
"grad_norm": 0.39860862493515015,
|
| 231 |
+
"learning_rate": 8.139060623360494e-06,
|
| 232 |
+
"loss": 0.4919,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.0969529085872576,
|
| 237 |
+
"grad_norm": 0.3812428116798401,
|
| 238 |
+
"learning_rate": 7.985792958513932e-06,
|
| 239 |
+
"loss": 0.4475,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.1301939058171746,
|
| 244 |
+
"grad_norm": 0.38544097542762756,
|
| 245 |
+
"learning_rate": 7.828034377432694e-06,
|
| 246 |
+
"loss": 0.4702,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.1634349030470914,
|
| 251 |
+
"grad_norm": 0.38543078303337097,
|
| 252 |
+
"learning_rate": 7.666022164008458e-06,
|
| 253 |
+
"loss": 0.4492,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.1966759002770084,
|
| 258 |
+
"grad_norm": 0.36279022693634033,
|
| 259 |
+
"learning_rate": 7.500000000000001e-06,
|
| 260 |
+
"loss": 0.4394,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.2299168975069252,
|
| 265 |
+
"grad_norm": 0.4173636734485626,
|
| 266 |
+
"learning_rate": 7.330217598512696e-06,
|
| 267 |
+
"loss": 0.4573,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.263157894736842,
|
| 272 |
+
"grad_norm": 0.3636619448661804,
|
| 273 |
+
"learning_rate": 7.156930328406268e-06,
|
| 274 |
+
"loss": 0.4374,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.296398891966759,
|
| 279 |
+
"grad_norm": 0.44060707092285156,
|
| 280 |
+
"learning_rate": 6.980398830195785e-06,
|
| 281 |
+
"loss": 0.4401,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.3296398891966759,
|
| 286 |
+
"grad_norm": 0.33170637488365173,
|
| 287 |
+
"learning_rate": 6.800888624023552e-06,
|
| 288 |
+
"loss": 0.3893,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.3628808864265927,
|
| 293 |
+
"grad_norm": 0.3763296902179718,
|
| 294 |
+
"learning_rate": 6.618669710291607e-06,
|
| 295 |
+
"loss": 0.4629,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.3961218836565097,
|
| 300 |
+
"grad_norm": 0.4101507365703583,
|
| 301 |
+
"learning_rate": 6.434016163555452e-06,
|
| 302 |
+
"loss": 0.4972,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.4293628808864267,
|
| 307 |
+
"grad_norm": 0.38400354981422424,
|
| 308 |
+
"learning_rate": 6.247205720289907e-06,
|
| 309 |
+
"loss": 0.4663,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.4626038781163435,
|
| 314 |
+
"grad_norm": 0.39262333512306213,
|
| 315 |
+
"learning_rate": 6.058519361147055e-06,
|
| 316 |
+
"loss": 0.4388,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.4958448753462603,
|
| 321 |
+
"grad_norm": 0.3506338894367218,
|
| 322 |
+
"learning_rate": 5.8682408883346535e-06,
|
| 323 |
+
"loss": 0.3527,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.5290858725761773,
|
| 328 |
+
"grad_norm": 0.35712841153144836,
|
| 329 |
+
"learning_rate": 5.6766564987506564e-06,
|
| 330 |
+
"loss": 0.4269,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.5623268698060941,
|
| 335 |
+
"grad_norm": 0.35582512617111206,
|
| 336 |
+
"learning_rate": 5.484054353515896e-06,
|
| 337 |
+
"loss": 0.3959,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.595567867036011,
|
| 342 |
+
"grad_norm": 0.3706922233104706,
|
| 343 |
+
"learning_rate": 5.290724144552379e-06,
|
| 344 |
+
"loss": 0.4267,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.628808864265928,
|
| 349 |
+
"grad_norm": 0.36104509234428406,
|
| 350 |
+
"learning_rate": 5.096956658859122e-06,
|
| 351 |
+
"loss": 0.4238,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.662049861495845,
|
| 356 |
+
"grad_norm": 0.38358086347579956,
|
| 357 |
+
"learning_rate": 4.903043341140879e-06,
|
| 358 |
+
"loss": 0.4498,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.6952908587257618,
|
| 363 |
+
"grad_norm": 0.32370346784591675,
|
| 364 |
+
"learning_rate": 4.7092758554476215e-06,
|
| 365 |
+
"loss": 0.379,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.7285318559556786,
|
| 370 |
+
"grad_norm": 0.390703946352005,
|
| 371 |
+
"learning_rate": 4.515945646484105e-06,
|
| 372 |
+
"loss": 0.4589,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.7617728531855956,
|
| 377 |
+
"grad_norm": 0.35574859380722046,
|
| 378 |
+
"learning_rate": 4.323343501249346e-06,
|
| 379 |
+
"loss": 0.4284,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.7950138504155124,
|
| 384 |
+
"grad_norm": 0.3821960985660553,
|
| 385 |
+
"learning_rate": 4.131759111665349e-06,
|
| 386 |
+
"loss": 0.4464,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.8282548476454292,
|
| 391 |
+
"grad_norm": 0.3628939688205719,
|
| 392 |
+
"learning_rate": 3.941480638852948e-06,
|
| 393 |
+
"loss": 0.4127,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.8614958448753463,
|
| 398 |
+
"grad_norm": 0.3751230537891388,
|
| 399 |
+
"learning_rate": 3.752794279710094e-06,
|
| 400 |
+
"loss": 0.4308,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.8947368421052633,
|
| 405 |
+
"grad_norm": 0.36090031266212463,
|
| 406 |
+
"learning_rate": 3.5659838364445505e-06,
|
| 407 |
+
"loss": 0.426,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.92797783933518,
|
| 412 |
+
"grad_norm": 0.37130820751190186,
|
| 413 |
+
"learning_rate": 3.3813302897083955e-06,
|
| 414 |
+
"loss": 0.4299,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.9612188365650969,
|
| 419 |
+
"grad_norm": 0.3735775053501129,
|
| 420 |
+
"learning_rate": 3.1991113759764493e-06,
|
| 421 |
+
"loss": 0.4212,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.994459833795014,
|
| 426 |
+
"grad_norm": 0.37526699900627136,
|
| 427 |
+
"learning_rate": 3.019601169804216e-06,
|
| 428 |
+
"loss": 0.4594,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.027700831024931,
|
| 433 |
+
"grad_norm": 1.2472105026245117,
|
| 434 |
+
"learning_rate": 2.843069671593734e-06,
|
| 435 |
+
"loss": 0.6625,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 2.0609418282548475,
|
| 440 |
+
"grad_norm": 0.5256877541542053,
|
| 441 |
+
"learning_rate": 2.6697824014873076e-06,
|
| 442 |
+
"loss": 0.3823,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.0941828254847645,
|
| 447 |
+
"grad_norm": 0.35856226086616516,
|
| 448 |
+
"learning_rate": 2.5000000000000015e-06,
|
| 449 |
+
"loss": 0.3802,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.1274238227146816,
|
| 454 |
+
"grad_norm": 0.34101545810699463,
|
| 455 |
+
"learning_rate": 2.333977835991545e-06,
|
| 456 |
+
"loss": 0.3445,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.160664819944598,
|
| 461 |
+
"grad_norm": 0.3762127757072449,
|
| 462 |
+
"learning_rate": 2.171965622567308e-06,
|
| 463 |
+
"loss": 0.3903,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.193905817174515,
|
| 468 |
+
"grad_norm": 0.36153438687324524,
|
| 469 |
+
"learning_rate": 2.0142070414860704e-06,
|
| 470 |
+
"loss": 0.3968,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.227146814404432,
|
| 475 |
+
"grad_norm": 0.3704725503921509,
|
| 476 |
+
"learning_rate": 1.8609393766395083e-06,
|
| 477 |
+
"loss": 0.4023,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.260387811634349,
|
| 482 |
+
"grad_norm": 0.345738023519516,
|
| 483 |
+
"learning_rate": 1.7123931571546826e-06,
|
| 484 |
+
"loss": 0.3728,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.293628808864266,
|
| 489 |
+
"grad_norm": 0.35163000226020813,
|
| 490 |
+
"learning_rate": 1.5687918106563326e-06,
|
| 491 |
+
"loss": 0.3588,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.326869806094183,
|
| 496 |
+
"grad_norm": 0.3672683537006378,
|
| 497 |
+
"learning_rate": 1.4303513272105057e-06,
|
| 498 |
+
"loss": 0.4005,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.3601108033241,
|
| 503 |
+
"grad_norm": 0.33104199171066284,
|
| 504 |
+
"learning_rate": 1.297279934454978e-06,
|
| 505 |
+
"loss": 0.3324,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.393351800554017,
|
| 510 |
+
"grad_norm": 0.35979458689689636,
|
| 511 |
+
"learning_rate": 1.1697777844051105e-06,
|
| 512 |
+
"loss": 0.3939,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.4265927977839334,
|
| 517 |
+
"grad_norm": 0.34565168619155884,
|
| 518 |
+
"learning_rate": 1.0480366524062041e-06,
|
| 519 |
+
"loss": 0.3498,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.4598337950138505,
|
| 524 |
+
"grad_norm": 0.3453231453895569,
|
| 525 |
+
"learning_rate": 9.322396486851626e-07,
|
| 526 |
+
"loss": 0.3846,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.4930747922437675,
|
| 531 |
+
"grad_norm": 0.3575272560119629,
|
| 532 |
+
"learning_rate": 8.225609429353187e-07,
|
| 533 |
+
"loss": 0.3663,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.526315789473684,
|
| 538 |
+
"grad_norm": 0.3252071738243103,
|
| 539 |
+
"learning_rate": 7.191655023486682e-07,
|
| 540 |
+
"loss": 0.3424,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.559556786703601,
|
| 545 |
+
"grad_norm": 0.36309072375297546,
|
| 546 |
+
"learning_rate": 6.222088434895462e-07,
|
| 547 |
+
"loss": 0.372,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.592797783933518,
|
| 552 |
+
"grad_norm": 0.3643971383571625,
|
| 553 |
+
"learning_rate": 5.318367983829393e-07,
|
| 554 |
+
"loss": 0.3895,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.6260387811634347,
|
| 559 |
+
"grad_norm": 0.33617454767227173,
|
| 560 |
+
"learning_rate": 4.481852951692672e-07,
|
| 561 |
+
"loss": 0.3742,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.6592797783933517,
|
| 566 |
+
"grad_norm": 0.3941975235939026,
|
| 567 |
+
"learning_rate": 3.7138015365554834e-07,
|
| 568 |
+
"loss": 0.4365,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.6925207756232687,
|
| 573 |
+
"grad_norm": 0.335756778717041,
|
| 574 |
+
"learning_rate": 3.015368960704584e-07,
|
| 575 |
+
"loss": 0.3664,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.7257617728531853,
|
| 580 |
+
"grad_norm": 0.3415193557739258,
|
| 581 |
+
"learning_rate": 2.3876057330792344e-07,
|
| 582 |
+
"loss": 0.3506,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.7590027700831024,
|
| 587 |
+
"grad_norm": 0.3626050651073456,
|
| 588 |
+
"learning_rate": 1.8314560692059836e-07,
|
| 589 |
+
"loss": 0.3794,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.7922437673130194,
|
| 594 |
+
"grad_norm": 0.3612777590751648,
|
| 595 |
+
"learning_rate": 1.3477564710088097e-07,
|
| 596 |
+
"loss": 0.3675,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.8254847645429364,
|
| 601 |
+
"grad_norm": 0.38328835368156433,
|
| 602 |
+
"learning_rate": 9.372344686307655e-08,
|
| 603 |
+
"loss": 0.4047,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.8587257617728534,
|
| 608 |
+
"grad_norm": 0.36719197034835815,
|
| 609 |
+
"learning_rate": 6.005075261595495e-08,
|
| 610 |
+
"loss": 0.3681,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.89196675900277,
|
| 615 |
+
"grad_norm": 0.3810074031352997,
|
| 616 |
+
"learning_rate": 3.3808211290284886e-08,
|
| 617 |
+
"loss": 0.4046,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.925207756232687,
|
| 622 |
+
"grad_norm": 0.36970335245132446,
|
| 623 |
+
"learning_rate": 1.5035294161039882e-08,
|
| 624 |
+
"loss": 0.3916,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.958448753462604,
|
| 629 |
+
"grad_norm": 0.4210459291934967,
|
| 630 |
+
"learning_rate": 3.760237478849793e-09,
|
| 631 |
+
"loss": 0.4253,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.9916897506925206,
|
| 636 |
+
"grad_norm": 0.3731752634048462,
|
| 637 |
+
"learning_rate": 0.0,
|
| 638 |
+
"loss": 0.3648,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.9916897506925206,
|
| 643 |
+
"step": 90,
|
| 644 |
+
"total_flos": 6.786493896982528e+16,
|
| 645 |
+
"train_loss": 0.4722738567325804,
|
| 646 |
+
"train_runtime": 13326.5194,
|
| 647 |
+
"train_samples_per_second": 0.325,
|
| 648 |
+
"train_steps_per_second": 0.007
|
| 649 |
+
}
|
| 650 |
+
],
|
| 651 |
+
"logging_steps": 1,
|
| 652 |
+
"max_steps": 90,
|
| 653 |
+
"num_input_tokens_seen": 0,
|
| 654 |
+
"num_train_epochs": 3,
|
| 655 |
+
"save_steps": 200,
|
| 656 |
+
"stateful_callbacks": {
|
| 657 |
+
"TrainerControl": {
|
| 658 |
+
"args": {
|
| 659 |
+
"should_epoch_stop": false,
|
| 660 |
+
"should_evaluate": false,
|
| 661 |
+
"should_log": false,
|
| 662 |
+
"should_save": true,
|
| 663 |
+
"should_training_stop": true
|
| 664 |
+
},
|
| 665 |
+
"attributes": {}
|
| 666 |
+
}
|
| 667 |
+
},
|
| 668 |
+
"total_flos": 6.786493896982528e+16,
|
| 669 |
+
"train_batch_size": 1,
|
| 670 |
+
"trial_name": null,
|
| 671 |
+
"trial_params": null
|
| 672 |
+
}
|
training_loss.png
ADDED
|