yi_34B_8k_classification
This model is a fine-tuned version of 01-ai/Yi-34B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1806
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: 5e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2209 | 1.0 | 223 | 0.1886 |
| 0.232 | 2.0 | 446 | 0.1809 |
| 0.1667 | 3.0 | 669 | 0.1806 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for hiiamsid/yi_34B_8k_classification
Base model
01-ai/Yi-34B