metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter18_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter18_sftsd2
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: 2.6236
- Num Input Tokens Seen: 4624112
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 | 1.3909 | 0 |
| 1.5938 | 0.0511 | 5 | 1.2801 | 239496 |
| 0.8257 | 0.1021 | 10 | 1.3276 | 475896 |
| 0.3781 | 0.1532 | 15 | 1.5795 | 715416 |
| 0.203 | 0.2042 | 20 | 1.7945 | 958344 |
| 0.0828 | 0.2553 | 25 | 2.1123 | 1201808 |
| 0.0475 | 0.3063 | 30 | 2.2986 | 1441936 |
| 0.0255 | 0.3574 | 35 | 2.4401 | 1685128 |
| 0.0238 | 0.4084 | 40 | 2.5437 | 1923208 |
| 0.0205 | 0.4595 | 45 | 2.6059 | 2159992 |
| 0.0217 | 0.5105 | 50 | 2.6290 | 2396440 |
| 0.0236 | 0.5616 | 55 | 2.6241 | 2630120 |
| 0.0209 | 0.6126 | 60 | 2.6176 | 2871120 |
| 0.0202 | 0.6637 | 65 | 2.6088 | 3102520 |
| 0.0202 | 0.7147 | 70 | 2.6099 | 3337176 |
| 0.0194 | 0.7658 | 75 | 2.6224 | 3580072 |
| 0.022 | 0.8168 | 80 | 2.6128 | 3811176 |
| 0.0201 | 0.8679 | 85 | 2.6123 | 4053312 |
| 0.022 | 0.9190 | 90 | 2.6136 | 4283408 |
| 0.0201 | 0.9700 | 95 | 2.6248 | 4529888 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1