End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0984
+- Loss: 0.0221
 
 ## Model description
 
@@ -40,27 +40,37 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 9.4766        | 1.0   | 23   | 8.7001          |
-| 2.2197        | 2.0   | 46   | 2.2284          |
-| 1.508         | 3.0   | 69   | 1.1642          |
-| 0.9361        | 4.0   | 92   | 0.5838          |
-| 0.5719        | 5.0   | 115  | 0.3348          |
-| 0.3519        | 6.0   | 138  | 0.2189          |
-| 0.1204        | 7.0   | 161  | 0.1504          |
-| 0.278         | 8.0   | 184  | 0.1213          |
-| 0.1673        | 9.0   | 207  | 0.1035          |
-| 0.1508        | 10.0  | 230  | 0.0984          |
+| 5.0173        | 1.0   | 26   | 3.6634          |
+| 1.3207        | 2.0   | 52   | 1.6421          |
+| 1.5145        | 3.0   | 78   | 0.8648          |
+| 0.569         | 4.0   | 104  | 0.4282          |
+| 0.959         | 5.0   | 130  | 0.2613          |
+| 0.3348        | 6.0   | 156  | 0.1609          |
+| 0.279         | 7.0   | 182  | 0.1122          |
+| 0.1566        | 8.0   | 208  | 0.0876          |
+| 0.1332        | 9.0   | 234  | 0.0692          |
+| 0.0173        | 10.0  | 260  | 0.0540          |
+| 0.1275        | 11.0  | 286  | 0.0489          |
+| 0.0454        | 12.0  | 312  | 0.0424          |
+| 0.0197        | 13.0  | 338  | 0.0367          |
+| 0.0166        | 14.0  | 364  | 0.0332          |
+| 0.0718        | 15.0  | 390  | 0.0289          |
+| 0.0243        | 16.0  | 416  | 0.0261          |
+| 0.1413        | 17.0  | 442  | 0.0244          |
+| 0.2464        | 18.0  | 468  | 0.0231          |
+| 0.0033        | 19.0  | 494  | 0.0223          |
+| 0.0122        | 20.0  | 520  | 0.0221          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.0
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.41.2
+- Pytorch 2.2.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -55,7 +55,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.41.2",
   "use_cache": true,
   "vocab_size": 32128
 }

generation_config.json

@@ -3,5 +3,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.38.2"
+  "transformers_version": "4.41.2"
 }

runs/Jun17_11-11-53_MacBook-Pro.local/events.out.tfevents.1718593915.MacBook-Pro.local

@@ -0,0 +1,3 @@
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+size 120768

training_args.bin

@@ -1,3 +1,3 @@
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-size 5112
+oid sha256:e6b6f0d368d54d7aea7454a20957bbce3b8d3ad8a8f15b2163d5d4519ec291d5
+size 5304