metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter6_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: 2.3509
- Num Input Tokens Seen: 4891248
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 |
| 1.6111 | 0.0511 | 5 | 1.2746 | 256472 |
| 0.9464 | 0.1022 | 10 | 1.2781 | 505824 |
| 0.5045 | 0.1534 | 15 | 1.5132 | 755440 |
| 0.2581 | 0.2045 | 20 | 1.7434 | 1005848 |
| 0.1646 | 0.2556 | 25 | 1.9292 | 1255320 |
| 0.0521 | 0.3067 | 30 | 2.1045 | 1503448 |
| 0.0656 | 0.3578 | 35 | 2.2305 | 1753944 |
| 0.0534 | 0.4089 | 40 | 2.3242 | 2008656 |
| 0.0296 | 0.4601 | 45 | 2.3765 | 2257912 |
| 0.0334 | 0.5112 | 50 | 2.3208 | 2511848 |
| 0.0325 | 0.5623 | 55 | 2.2550 | 2768424 |
| 0.0526 | 0.6134 | 60 | 2.2720 | 3026208 |
| 0.0252 | 0.6645 | 65 | 2.2846 | 3281624 |
| 0.0247 | 0.7157 | 70 | 2.2932 | 3536472 |
| 0.0241 | 0.7668 | 75 | 2.3163 | 3787728 |
| 0.0238 | 0.8179 | 80 | 2.3276 | 4041280 |
| 0.0228 | 0.8690 | 85 | 2.3375 | 4291440 |
| 0.0234 | 0.9201 | 90 | 2.3306 | 4542072 |
| 0.0243 | 0.9712 | 95 | 2.3427 | 4793768 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1