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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_iter6_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_iter6_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: 2.3592
- Num Input Tokens Seen: 5050360
## 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 |
| 1.4425 | 0.0511 | 5 | 1.2792 | 268048 |
| 1.0011 | 0.1022 | 10 | 1.2830 | 528720 |
| 0.5665 | 0.1533 | 15 | 1.5189 | 789760 |
| 0.3288 | 0.2043 | 20 | 1.6677 | 1055920 |
| 0.1659 | 0.2554 | 25 | 1.8473 | 1316120 |
| 0.0756 | 0.3065 | 30 | 1.9989 | 1571768 |
| 0.0561 | 0.3576 | 35 | 2.2048 | 1827248 |
| 0.0501 | 0.4087 | 40 | 2.2714 | 2080432 |
| 0.0308 | 0.4598 | 45 | 2.3411 | 2341488 |
| 0.0309 | 0.5109 | 50 | 2.3422 | 2597752 |
| 0.0273 | 0.5619 | 55 | 2.3220 | 2858344 |
| 0.028 | 0.6130 | 60 | 2.3425 | 3126248 |
| 0.0239 | 0.6641 | 65 | 2.3425 | 3385352 |
| 0.0303 | 0.7152 | 70 | 2.3531 | 3653912 |
| 0.0244 | 0.7663 | 75 | 2.3690 | 3915120 |
| 0.0242 | 0.8174 | 80 | 2.3697 | 4168000 |
| 0.026 | 0.8685 | 85 | 2.3791 | 4422656 |
| 0.0253 | 0.9195 | 90 | 2.3785 | 4684312 |
| 0.0239 | 0.9706 | 95 | 2.3603 | 4949120 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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