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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_iter9_sftsd2
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_iter9_sftsd2
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: 2.6695
- Num Input Tokens Seen: 7754872
## 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: 2
- 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 |
| 1.5959 | 0.0315 | 5 | 1.3066 | 254632 |
| 1.0717 | 0.0630 | 10 | 1.2465 | 502128 |
| 0.7125 | 0.0945 | 15 | 1.3592 | 744976 |
| 0.504 | 0.1260 | 20 | 1.5120 | 986472 |
| 0.2848 | 0.1575 | 25 | 1.6652 | 1237336 |
| 0.2452 | 0.1890 | 30 | 1.8288 | 1482344 |
| 0.1578 | 0.2205 | 35 | 1.9980 | 1732136 |
| 0.0569 | 0.2520 | 40 | 2.1960 | 1978848 |
| 0.0667 | 0.2835 | 45 | 2.3046 | 2223360 |
| 0.0341 | 0.3150 | 50 | 2.4331 | 2460800 |
| 0.0289 | 0.3465 | 55 | 2.4497 | 2702840 |
| 0.027 | 0.3780 | 60 | 2.5245 | 2953304 |
| 0.0265 | 0.4094 | 65 | 2.5800 | 3203880 |
| 0.0271 | 0.4409 | 70 | 2.5911 | 3452328 |
| 0.0265 | 0.4724 | 75 | 2.6014 | 3694936 |
| 0.0237 | 0.5039 | 80 | 2.6018 | 3940776 |
| 0.0253 | 0.5354 | 85 | 2.5984 | 4186160 |
| 0.0254 | 0.5669 | 90 | 2.6081 | 4427280 |
| 0.026 | 0.5984 | 95 | 2.6275 | 4674224 |
| 0.0249 | 0.6299 | 100 | 2.6499 | 4922464 |
| 0.0263 | 0.6614 | 105 | 2.6559 | 5169512 |
| 0.0295 | 0.6929 | 110 | 2.6640 | 5411768 |
| 0.0241 | 0.7244 | 115 | 2.6679 | 5655504 |
| 0.0259 | 0.7559 | 120 | 2.6763 | 5901264 |
| 0.0255 | 0.7874 | 125 | 2.6777 | 6144528 |
| 0.024 | 0.8189 | 130 | 2.6766 | 6387936 |
| 0.0228 | 0.8504 | 135 | 2.6707 | 6633736 |
| 0.0258 | 0.8819 | 140 | 2.6821 | 6868528 |
| 0.024 | 0.9134 | 145 | 2.6846 | 7115712 |
| 0.0257 | 0.9449 | 150 | 2.6769 | 7363728 |
| 0.0263 | 0.9764 | 155 | 2.6716 | 7603744 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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