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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_iter10_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_iter10_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: 2.6113
- Num Input Tokens Seen: 4842072
## 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 |
| 1.4765 | 0.0511 | 5 | 1.2806 | 246008 |
| 0.8873 | 0.1022 | 10 | 1.3078 | 501048 |
| 0.5453 | 0.1533 | 15 | 1.4836 | 748784 |
| 0.3639 | 0.2043 | 20 | 1.6678 | 995320 |
| 0.1682 | 0.2554 | 25 | 1.8911 | 1241960 |
| 0.141 | 0.3065 | 30 | 2.1355 | 1482280 |
| 0.1008 | 0.3576 | 35 | 2.2627 | 1727544 |
| 0.0333 | 0.4087 | 40 | 2.3954 | 1977544 |
| 0.027 | 0.4598 | 45 | 2.4283 | 2229912 |
| 0.0236 | 0.5109 | 50 | 2.5144 | 2487368 |
| 0.0233 | 0.5619 | 55 | 2.5364 | 2733936 |
| 0.0236 | 0.6130 | 60 | 2.5347 | 2984368 |
| 0.021 | 0.6641 | 65 | 2.5419 | 3234792 |
| 0.026 | 0.7152 | 70 | 2.5644 | 3479584 |
| 0.0223 | 0.7663 | 75 | 2.5735 | 3724952 |
| 0.0364 | 0.8174 | 80 | 2.5809 | 3980264 |
| 0.0232 | 0.8685 | 85 | 2.5900 | 4228400 |
| 0.0296 | 0.9195 | 90 | 2.5925 | 4484104 |
| 0.023 | 0.9706 | 95 | 2.6062 | 4735712 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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