metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter16_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter16_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: 2.6148
- Num Input Tokens Seen: 4649928
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 |
| 1.588 | 0.0511 | 5 | 1.2799 | 240344 |
| 0.8368 | 0.1021 | 10 | 1.3137 | 475832 |
| 0.4007 | 0.1532 | 15 | 1.5688 | 715888 |
| 0.2103 | 0.2042 | 20 | 1.7771 | 959272 |
| 0.0919 | 0.2553 | 25 | 2.1055 | 1202984 |
| 0.0579 | 0.3063 | 30 | 2.2288 | 1447360 |
| 0.0297 | 0.3574 | 35 | 2.4233 | 1690768 |
| 0.0258 | 0.4084 | 40 | 2.5438 | 1932088 |
| 0.0221 | 0.4595 | 45 | 2.5827 | 2172616 |
| 0.0207 | 0.5105 | 50 | 2.5997 | 2410040 |
| 0.022 | 0.5616 | 55 | 2.5889 | 2646200 |
| 0.0196 | 0.6126 | 60 | 2.6011 | 2888992 |
| 0.0203 | 0.6637 | 65 | 2.5980 | 3125144 |
| 0.0201 | 0.7147 | 70 | 2.6088 | 3358040 |
| 0.0197 | 0.7658 | 75 | 2.6171 | 3601728 |
| 0.0227 | 0.8168 | 80 | 2.6057 | 3835136 |
| 0.0201 | 0.8679 | 85 | 2.6070 | 4077024 |
| 0.0217 | 0.9190 | 90 | 2.6091 | 4307872 |
| 0.0194 | 0.9700 | 95 | 2.6178 | 4555016 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1