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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_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_accumulatesubsample_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: 1.1876
- Num Input Tokens Seen: 5050984
## 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 |
| 1.3991 | 0.0543 | 5 | 1.2725 | 268768 |
| 1.1703 | 0.1086 | 10 | 1.1974 | 544736 |
| 1.0865 | 0.1629 | 15 | 1.1898 | 814424 |
| 1.0812 | 0.2172 | 20 | 1.1993 | 1093688 |
| 0.8983 | 0.2716 | 25 | 1.2050 | 1373160 |
| 0.8093 | 0.3259 | 30 | 1.2215 | 1647872 |
| 0.734 | 0.3802 | 35 | 1.2129 | 1921464 |
| 0.6783 | 0.4345 | 40 | 1.2141 | 2206248 |
| 0.5858 | 0.4888 | 45 | 1.2226 | 2476264 |
| 0.6223 | 0.5431 | 50 | 1.2036 | 2753528 |
| 0.7186 | 0.5974 | 55 | 1.1927 | 3034280 |
| 0.452 | 0.6517 | 60 | 1.2088 | 3302232 |
| 0.5381 | 0.7060 | 65 | 1.1925 | 3575192 |
| 0.6065 | 0.7604 | 70 | 1.1956 | 3848736 |
| 0.5219 | 0.8147 | 75 | 1.1899 | 4125440 |
| 0.4986 | 0.8690 | 80 | 1.1895 | 4392672 |
| 0.4997 | 0.9233 | 85 | 1.1895 | 4661944 |
| 0.5353 | 0.9776 | 90 | 1.1928 | 4941648 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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