metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_sftsd1
results: []
collapse_gemma-2-2b_hs2_replace_iter8_sftsd1
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5550
- Num Input Tokens Seen: 8095056
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 |
| 1.7525 | 0.0316 | 5 | 1.3104 | 254840 |
| 1.2052 | 0.0632 | 10 | 1.2361 | 505744 |
| 0.829 | 0.0948 | 15 | 1.3012 | 764784 |
| 0.5192 | 0.1264 | 20 | 1.5065 | 1017080 |
| 0.3515 | 0.1580 | 25 | 1.6064 | 1273384 |
| 0.2183 | 0.1896 | 30 | 1.7810 | 1528696 |
| 0.15 | 0.2212 | 35 | 1.9429 | 1786696 |
| 0.1138 | 0.2528 | 40 | 2.1156 | 2047952 |
| 0.059 | 0.2844 | 45 | 2.2852 | 2304208 |
| 0.0473 | 0.3160 | 50 | 2.3658 | 2562872 |
| 0.0341 | 0.3476 | 55 | 2.4285 | 2820024 |
| 0.033 | 0.3791 | 60 | 2.5434 | 3081376 |
| 0.0283 | 0.4107 | 65 | 2.5781 | 3330816 |
| 0.0293 | 0.4423 | 70 | 2.5558 | 3576176 |
| 0.0301 | 0.4739 | 75 | 2.5472 | 3824776 |
| 0.0286 | 0.5055 | 80 | 2.5378 | 4086992 |
| 0.0761 | 0.5371 | 85 | 2.5431 | 4343816 |
| 0.0281 | 0.5687 | 90 | 2.5042 | 4593704 |
| 0.0267 | 0.6003 | 95 | 2.4403 | 4863272 |
| 0.0277 | 0.6319 | 100 | 2.3900 | 5119864 |
| 0.028 | 0.6635 | 105 | 2.3840 | 5376216 |
| 0.0259 | 0.6951 | 110 | 2.4084 | 5631856 |
| 0.0245 | 0.7267 | 115 | 2.4373 | 5885432 |
| 0.0261 | 0.7583 | 120 | 2.4586 | 6140608 |
| 0.0265 | 0.7899 | 125 | 2.4941 | 6400528 |
| 0.0264 | 0.8215 | 130 | 2.5242 | 6657312 |
| 0.0256 | 0.8531 | 135 | 2.5193 | 6909008 |
| 0.0268 | 0.8847 | 140 | 2.5183 | 7169664 |
| 0.0259 | 0.9163 | 145 | 2.5392 | 7429120 |
| 0.0269 | 0.9479 | 150 | 2.5512 | 7684536 |
| 0.0232 | 0.9795 | 155 | 2.5518 | 7946120 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1