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---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_sftsd0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# collapse_gemma-2-2b_hs2_replace_iter7_sftsd0
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5953
- Num Input Tokens Seen: 7903776
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log | 0 | 0 | 1.3956 | 0 |
| 1.682 | 0.0315 | 5 | 1.3074 | 243600 |
| 1.1958 | 0.0630 | 10 | 1.2384 | 489576 |
| 0.8251 | 0.0945 | 15 | 1.3304 | 736640 |
| 0.5381 | 0.1260 | 20 | 1.4985 | 987872 |
| 0.2729 | 0.1575 | 25 | 1.6796 | 1238504 |
| 0.2581 | 0.1890 | 30 | 1.8457 | 1493072 |
| 0.1176 | 0.2205 | 35 | 2.0106 | 1744312 |
| 0.0711 | 0.2520 | 40 | 2.1725 | 1992528 |
| 0.05 | 0.2835 | 45 | 2.2581 | 2243824 |
| 0.0473 | 0.3150 | 50 | 2.3984 | 2490888 |
| 0.0535 | 0.3465 | 55 | 2.4441 | 2740728 |
| 0.032 | 0.3780 | 60 | 2.4463 | 2979648 |
| 0.0318 | 0.4094 | 65 | 2.4594 | 3231056 |
| 0.0359 | 0.4409 | 70 | 2.4814 | 3481768 |
| 0.0294 | 0.4724 | 75 | 2.5039 | 3739344 |
| 0.0275 | 0.5039 | 80 | 2.4899 | 3999888 |
| 0.0298 | 0.5354 | 85 | 2.4773 | 4250720 |
| 0.0296 | 0.5669 | 90 | 2.5022 | 4506360 |
| 0.0243 | 0.5984 | 95 | 2.5058 | 4764496 |
| 0.027 | 0.6299 | 100 | 2.5154 | 5009024 |
| 0.0268 | 0.6614 | 105 | 2.5056 | 5257688 |
| 0.0292 | 0.6929 | 110 | 2.5422 | 5501784 |
| 0.0297 | 0.7244 | 115 | 2.5510 | 5757400 |
| 0.0266 | 0.7559 | 120 | 2.5546 | 6003016 |
| 0.0255 | 0.7874 | 125 | 2.5727 | 6255120 |
| 0.0258 | 0.8189 | 130 | 2.5746 | 6501384 |
| 0.0282 | 0.8504 | 135 | 2.5777 | 6752008 |
| 0.0303 | 0.8819 | 140 | 2.5688 | 7004584 |
| 0.0259 | 0.9134 | 145 | 2.5679 | 7258288 |
| 0.0244 | 0.9449 | 150 | 2.5847 | 7508928 |
| 0.024 | 0.9764 | 155 | 2.5936 | 7755344 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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