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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_iter18_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_iter18_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: 2.6152
- Num Input Tokens Seen: 4612568
## 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 |
| 1.4791 | 0.0511 | 5 | 1.2823 | 234336 |
| 0.7755 | 0.1021 | 10 | 1.3555 | 468312 |
| 0.5206 | 0.1532 | 15 | 1.5591 | 705040 |
| 0.2677 | 0.2042 | 20 | 1.8280 | 942456 |
| 0.1169 | 0.2553 | 25 | 2.1030 | 1175928 |
| 0.0577 | 0.3063 | 30 | 2.3359 | 1415480 |
| 0.0419 | 0.3574 | 35 | 2.4555 | 1658512 |
| 0.0294 | 0.4084 | 40 | 2.5475 | 1894936 |
| 0.0247 | 0.4595 | 45 | 2.5924 | 2129624 |
| 0.0226 | 0.5105 | 50 | 2.6222 | 2365768 |
| 0.0234 | 0.5616 | 55 | 2.6268 | 2602808 |
| 0.0241 | 0.6126 | 60 | 2.6131 | 2839776 |
| 0.0235 | 0.6637 | 65 | 2.6022 | 3083424 |
| 0.0211 | 0.7147 | 70 | 2.5919 | 3314048 |
| 0.024 | 0.7658 | 75 | 2.5998 | 3557112 |
| 0.0232 | 0.8168 | 80 | 2.5986 | 3792832 |
| 0.0231 | 0.8679 | 85 | 2.5935 | 4040848 |
| 0.0237 | 0.9190 | 90 | 2.6008 | 4281816 |
| 0.0221 | 0.9700 | 95 | 2.6136 | 4515280 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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