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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_accumulatesubsample_iter16_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_accumulatesubsample_iter16_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: 1.2037
- Num Input Tokens Seen: 5033336
## 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 | 1.3909 | 0 |
| 1.4057 | 0.0531 | 5 | 1.2789 | 266712 |
| 0.9946 | 0.1061 | 10 | 1.2203 | 535376 |
| 0.9751 | 0.1592 | 15 | 1.2176 | 817176 |
| 0.8049 | 0.2122 | 20 | 1.2373 | 1083600 |
| 0.7624 | 0.2653 | 25 | 1.2358 | 1352608 |
| 0.7157 | 0.3183 | 30 | 1.2521 | 1622152 |
| 0.54 | 0.3714 | 35 | 1.2346 | 1882312 |
| 0.5442 | 0.4244 | 40 | 1.2433 | 2149600 |
| 0.5808 | 0.4775 | 45 | 1.2429 | 2416240 |
| 0.4783 | 0.5305 | 50 | 1.2305 | 2682968 |
| 0.5364 | 0.5836 | 55 | 1.2256 | 2950376 |
| 0.5619 | 0.6366 | 60 | 1.2167 | 3214352 |
| 0.5027 | 0.6897 | 65 | 1.2278 | 3481120 |
| 0.4447 | 0.7427 | 70 | 1.2205 | 3747064 |
| 0.3629 | 0.7958 | 75 | 1.2205 | 4015440 |
| 0.5072 | 0.8488 | 80 | 1.2094 | 4281048 |
| 0.5246 | 0.9019 | 85 | 1.2102 | 4550336 |
| 0.5123 | 0.9549 | 90 | 1.2077 | 4814152 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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