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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_iter3_sftsd1
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_iter3_sftsd1
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: 1.9367
- Num Input Tokens Seen: 5020224
## 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: 1
- 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 | 1.3909 | 0 |
| 1.5266 | 0.0526 | 5 | 1.2670 | 264096 |
| 1.1256 | 0.1053 | 10 | 1.2054 | 527848 |
| 0.7847 | 0.1579 | 15 | 1.3177 | 792400 |
| 0.6784 | 0.2105 | 20 | 1.4672 | 1052232 |
| 0.334 | 0.2632 | 25 | 1.6317 | 1312448 |
| 0.2438 | 0.3158 | 30 | 1.7383 | 1578664 |
| 0.1837 | 0.3684 | 35 | 1.8782 | 1839144 |
| 0.1245 | 0.4211 | 40 | 1.9244 | 2108176 |
| 0.0826 | 0.4737 | 45 | 2.0330 | 2367432 |
| 0.0758 | 0.5263 | 50 | 1.9421 | 2626312 |
| 0.0651 | 0.5789 | 55 | 1.9341 | 2894088 |
| 0.0576 | 0.6316 | 60 | 2.0003 | 3163960 |
| 0.1138 | 0.6842 | 65 | 1.9950 | 3426520 |
| 0.0404 | 0.7368 | 70 | 1.9335 | 3690192 |
| 0.0431 | 0.7895 | 75 | 1.8592 | 3956584 |
| 0.0351 | 0.8421 | 80 | 1.9416 | 4223128 |
| 0.0702 | 0.8947 | 85 | 1.9729 | 4490032 |
| 0.0323 | 0.9474 | 90 | 1.8898 | 4755864 |
| 0.0432 | 1.0 | 95 | 1.9367 | 5020224 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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