metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter12_sftsd0
results: []
collapse_gemma-2-2b_hs2_replace_iter12_sftsd0
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: 2.6294
- Num Input Tokens Seen: 4751776
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: 0
- 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 |
| 1.4105 | 0.0511 | 5 | 1.2861 | 260792 |
| 0.7212 | 0.1021 | 10 | 1.3450 | 513752 |
| 0.4618 | 0.1532 | 15 | 1.5903 | 758800 |
| 0.269 | 0.2042 | 20 | 1.8248 | 1000344 |
| 0.1064 | 0.2553 | 25 | 2.0278 | 1244312 |
| 0.0632 | 0.3063 | 30 | 2.2668 | 1480632 |
| 0.0349 | 0.3574 | 35 | 2.3784 | 1715600 |
| 0.0345 | 0.4084 | 40 | 2.4896 | 1961024 |
| 0.0309 | 0.4595 | 45 | 2.5375 | 2202712 |
| 0.0238 | 0.5105 | 50 | 2.5525 | 2440616 |
| 0.0229 | 0.5616 | 55 | 2.6030 | 2686984 |
| 0.0246 | 0.6126 | 60 | 2.6495 | 2928608 |
| 0.0206 | 0.6637 | 65 | 2.6637 | 3184600 |
| 0.0224 | 0.7147 | 70 | 2.6544 | 3423976 |
| 0.0233 | 0.7658 | 75 | 2.6538 | 3672776 |
| 0.0249 | 0.8168 | 80 | 2.6576 | 3911528 |
| 0.0214 | 0.8679 | 85 | 2.6595 | 4164584 |
| 0.0232 | 0.9190 | 90 | 2.6339 | 4412224 |
| 0.0222 | 0.9700 | 95 | 2.6302 | 4650264 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1