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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_iter8_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_iter8_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: 2.4272
- Num Input Tokens Seen: 4951896
## 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 | 1.3909 | 0 |
| 1.5175 | 0.0513 | 5 | 1.2789 | 257144 |
| 0.9829 | 0.1026 | 10 | 1.3042 | 514112 |
| 0.6046 | 0.1539 | 15 | 1.5441 | 764984 |
| 0.2914 | 0.2053 | 20 | 1.7425 | 1029856 |
| 0.1385 | 0.2566 | 25 | 1.9543 | 1280440 |
| 0.0926 | 0.3079 | 30 | 2.1538 | 1540792 |
| 0.0413 | 0.3592 | 35 | 2.3295 | 1791360 |
| 0.0362 | 0.4105 | 40 | 2.3097 | 2050952 |
| 0.0301 | 0.4618 | 45 | 2.3998 | 2309592 |
| 0.0253 | 0.5131 | 50 | 2.3280 | 2558648 |
| 0.0348 | 0.5645 | 55 | 2.3369 | 2824704 |
| 0.0323 | 0.6158 | 60 | 2.3580 | 3080328 |
| 0.0331 | 0.6671 | 65 | 2.3628 | 3333360 |
| 0.0257 | 0.7184 | 70 | 2.3566 | 3579552 |
| 0.0228 | 0.7697 | 75 | 2.3590 | 3836760 |
| 0.021 | 0.8210 | 80 | 2.3724 | 4089776 |
| 0.0232 | 0.8724 | 85 | 2.3932 | 4342392 |
| 0.0223 | 0.9237 | 90 | 2.4080 | 4600240 |
| 0.0243 | 0.9750 | 95 | 2.4271 | 4849520 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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