metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter14_sftsd2
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter14_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: 1.2046
- Num Input Tokens Seen: 4998392
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 |
| 1.4664 | 0.0531 | 5 | 1.2779 | 265768 |
| 1.0297 | 0.1062 | 10 | 1.2239 | 526776 |
| 0.9672 | 0.1594 | 15 | 1.2051 | 794288 |
| 0.9285 | 0.2125 | 20 | 1.2391 | 1063824 |
| 0.7632 | 0.2656 | 25 | 1.2306 | 1332408 |
| 0.7406 | 0.3187 | 30 | 1.2478 | 1595464 |
| 0.6883 | 0.3718 | 35 | 1.2507 | 1871024 |
| 0.5929 | 0.4250 | 40 | 1.2429 | 2133560 |
| 0.4589 | 0.4781 | 45 | 1.2391 | 2394480 |
| 0.6095 | 0.5312 | 50 | 1.2221 | 2663544 |
| 0.5181 | 0.5843 | 55 | 1.2246 | 2930064 |
| 0.4917 | 0.6375 | 60 | 1.2135 | 3199536 |
| 0.5105 | 0.6906 | 65 | 1.2249 | 3465264 |
| 0.4253 | 0.7437 | 70 | 1.2138 | 3727952 |
| 0.4506 | 0.7968 | 75 | 1.2148 | 3991304 |
| 0.4301 | 0.8499 | 80 | 1.2095 | 4255664 |
| 0.432 | 0.9031 | 85 | 1.2015 | 4523456 |
| 0.3698 | 0.9562 | 90 | 1.2208 | 4781552 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1