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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_sftsd1
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_sftsd1
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: 2.4466
- Num Input Tokens Seen: 8280920
## 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: 1
- 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 |
| 1.6329 | 0.0318 | 5 | 1.3100 | 261936 |
| 1.0812 | 0.0635 | 10 | 1.2393 | 527984 |
| 0.8509 | 0.0953 | 15 | 1.2939 | 798792 |
| 0.5856 | 0.1271 | 20 | 1.4435 | 1068224 |
| 0.3945 | 0.1589 | 25 | 1.5981 | 1333664 |
| 0.2591 | 0.1906 | 30 | 1.7370 | 1600920 |
| 0.2297 | 0.2224 | 35 | 1.9540 | 1862864 |
| 0.1491 | 0.2542 | 40 | 2.0318 | 2119104 |
| 0.0693 | 0.2859 | 45 | 2.2388 | 2377720 |
| 0.0509 | 0.3177 | 50 | 2.3196 | 2637816 |
| 0.0475 | 0.3495 | 55 | 2.3864 | 2900952 |
| 0.034 | 0.3813 | 60 | 2.4376 | 3166456 |
| 0.0324 | 0.4130 | 65 | 2.4449 | 3436144 |
| 0.034 | 0.4448 | 70 | 2.4523 | 3702280 |
| 0.0326 | 0.4766 | 75 | 2.4438 | 3966328 |
| 0.0336 | 0.5083 | 80 | 2.4354 | 4221440 |
| 0.0313 | 0.5401 | 85 | 2.4139 | 4486432 |
| 0.0283 | 0.5719 | 90 | 2.3846 | 4751320 |
| 0.0301 | 0.6037 | 95 | 2.3932 | 5019592 |
| 0.0284 | 0.6354 | 100 | 2.4044 | 5280712 |
| 0.0256 | 0.6672 | 105 | 2.4084 | 5539944 |
| 0.0329 | 0.6990 | 110 | 2.4300 | 5807632 |
| 0.0266 | 0.7307 | 115 | 2.4236 | 6068760 |
| 0.0267 | 0.7625 | 120 | 2.4100 | 6331712 |
| 0.0268 | 0.7943 | 125 | 2.4094 | 6593680 |
| 0.0272 | 0.8261 | 130 | 2.4229 | 6859744 |
| 0.0296 | 0.8578 | 135 | 2.4294 | 7118040 |
| 0.027 | 0.8896 | 140 | 2.4374 | 7383424 |
| 0.0264 | 0.9214 | 145 | 2.4434 | 7650680 |
| 0.0248 | 0.9531 | 150 | 2.4362 | 7915376 |
| 0.0264 | 0.9849 | 155 | 2.4400 | 8174680 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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