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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_iter5_sftsd2
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_iter5_sftsd2
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: 2.4530
- Num Input Tokens Seen: 7866424
## 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: 2
- 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 | 1.3956 | 0 |
| 1.5841 | 0.0316 | 5 | 1.3064 | 246064 |
| 1.2139 | 0.0632 | 10 | 1.2259 | 490344 |
| 0.8575 | 0.0948 | 15 | 1.2862 | 743304 |
| 0.6223 | 0.1264 | 20 | 1.4173 | 991544 |
| 0.4134 | 0.1580 | 25 | 1.5797 | 1239400 |
| 0.2181 | 0.1896 | 30 | 1.7675 | 1492208 |
| 0.1602 | 0.2212 | 35 | 1.9274 | 1742536 |
| 0.1222 | 0.2528 | 40 | 1.9930 | 1993464 |
| 0.0567 | 0.2844 | 45 | 2.1636 | 2246064 |
| 0.0601 | 0.3160 | 50 | 2.2179 | 2495240 |
| 0.0426 | 0.3476 | 55 | 2.2534 | 2753624 |
| 0.0355 | 0.3791 | 60 | 2.3865 | 3000912 |
| 0.0353 | 0.4107 | 65 | 2.3864 | 3253912 |
| 0.029 | 0.4423 | 70 | 2.4098 | 3501280 |
| 0.028 | 0.4739 | 75 | 2.4119 | 3748336 |
| 0.0282 | 0.5055 | 80 | 2.4352 | 3992216 |
| 0.0297 | 0.5371 | 85 | 2.4314 | 4238048 |
| 0.0282 | 0.5687 | 90 | 2.4459 | 4485664 |
| 0.0294 | 0.6003 | 95 | 2.4529 | 4736648 |
| 0.0266 | 0.6319 | 100 | 2.4423 | 4994408 |
| 0.0264 | 0.6635 | 105 | 2.4515 | 5241848 |
| 0.0302 | 0.6951 | 110 | 2.4784 | 5488272 |
| 0.0283 | 0.7267 | 115 | 2.4612 | 5735720 |
| 0.0491 | 0.7583 | 120 | 2.4475 | 5982808 |
| 0.0284 | 0.7899 | 125 | 2.4495 | 6233656 |
| 0.0299 | 0.8215 | 130 | 2.4624 | 6483624 |
| 0.0279 | 0.8531 | 135 | 2.4608 | 6732040 |
| 0.0282 | 0.8847 | 140 | 2.4580 | 6974112 |
| 0.0258 | 0.9163 | 145 | 2.4557 | 7221264 |
| 0.0277 | 0.9479 | 150 | 2.4502 | 7469904 |
| 0.0273 | 0.9795 | 155 | 2.4400 | 7716824 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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