Gemma_ei_oc_mixed_train
This model is a fine-tuned version of google/gemma-7b on the emollms_ei_oc_mixed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1386
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.0842 | 0.3604 | 10 | 0.1794 |
0.1517 | 0.7207 | 20 | 0.1387 |
0.1383 | 1.0811 | 30 | 0.1458 |
0.1373 | 1.4414 | 40 | 0.1386 |
0.1368 | 1.8018 | 50 | 0.1395 |
0.1379 | 2.1622 | 60 | 0.1398 |
0.1354 | 2.5225 | 70 | 0.1388 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Holmeister/Gemma_ei_oc_mixed_train
Base model
google/gemma-7b