llama3_darulm_20_05_24_part1-2_128000_bpe_part1_lr2e5_bs256
This model is a fine-tuned version of RefalMachine/llama3_darulm_20_05_24_part1-2_128000_bpe_mean_init_03_07_24 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3233
- Accuracy: 0.4353
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
3.8341 | 0.1 | 2000 | 3.4751 | 0.4226 |
3.7102 | 0.2 | 4000 | 3.3715 | 0.4310 |
3.6607 | 0.3 | 6000 | 3.3393 | 0.4338 |
3.6063 | 0.4 | 8000 | 3.3285 | 0.4348 |
3.6349 | 0.51 | 10000 | 3.3248 | 0.4352 |
3.646 | 0.61 | 12000 | 3.3238 | 0.4352 |
3.5963 | 0.71 | 14000 | 3.3235 | 0.4354 |
3.6614 | 0.81 | 16000 | 3.3234 | 0.4353 |
3.6683 | 0.91 | 18000 | 3.3233 | 0.4354 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.15.2
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