|
--- |
|
license: gemma |
|
base_model: google/gemma-2-2b |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: collapse_gemma-2-2b_hs2_replace_iter10_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_iter10_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: 2.6482 |
|
- Num Input Tokens Seen: 7747456 |
|
|
|
## 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 | |
|
| 1.6727 | 0.0315 | 5 | 1.3102 | 246184 | |
|
| 1.009 | 0.0630 | 10 | 1.2543 | 489448 | |
|
| 0.667 | 0.0945 | 15 | 1.3838 | 726824 | |
|
| 0.4294 | 0.1259 | 20 | 1.5708 | 970024 | |
|
| 0.2248 | 0.1574 | 25 | 1.6675 | 1212248 | |
|
| 0.1908 | 0.1889 | 30 | 1.8604 | 1467208 | |
|
| 0.1451 | 0.2204 | 35 | 2.0014 | 1710152 | |
|
| 0.0621 | 0.2519 | 40 | 2.1971 | 1954192 | |
|
| 0.0381 | 0.2834 | 45 | 2.3063 | 2191576 | |
|
| 0.0367 | 0.3148 | 50 | 2.3949 | 2433592 | |
|
| 0.036 | 0.3463 | 55 | 2.4774 | 2679696 | |
|
| 0.0294 | 0.3778 | 60 | 2.5588 | 2928552 | |
|
| 0.0283 | 0.4093 | 65 | 2.5792 | 3173464 | |
|
| 0.0285 | 0.4408 | 70 | 2.6130 | 3413776 | |
|
| 0.0246 | 0.4723 | 75 | 2.6031 | 3659144 | |
|
| 0.0239 | 0.5037 | 80 | 2.6188 | 3912088 | |
|
| 0.023 | 0.5352 | 85 | 2.6231 | 4148400 | |
|
| 0.0251 | 0.5667 | 90 | 2.5840 | 4398984 | |
|
| 0.0236 | 0.5982 | 95 | 2.5662 | 4651040 | |
|
| 0.0264 | 0.6297 | 100 | 2.5629 | 4894920 | |
|
| 0.0243 | 0.6612 | 105 | 2.5727 | 5137152 | |
|
| 0.0256 | 0.6926 | 110 | 2.5955 | 5378304 | |
|
| 0.0235 | 0.7241 | 115 | 2.6078 | 5624672 | |
|
| 0.0242 | 0.7556 | 120 | 2.6111 | 5877704 | |
|
| 0.024 | 0.7871 | 125 | 2.6151 | 6124640 | |
|
| 0.0265 | 0.8186 | 130 | 2.6286 | 6367576 | |
|
| 0.0224 | 0.8501 | 135 | 2.6392 | 6614328 | |
|
| 0.0242 | 0.8815 | 140 | 2.6356 | 6856504 | |
|
| 0.023 | 0.9130 | 145 | 2.6439 | 7105832 | |
|
| 0.0238 | 0.9445 | 150 | 2.6567 | 7354200 | |
|
| 0.0244 | 0.9760 | 155 | 2.6456 | 7601504 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
