dsv2_esft_intent_lr3e-5
This model is a fine-tuned version of deepseek-ai/DeepSeek-V2-Lite on the esft_intent_lf dataset.
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for RoxanneWsyw/dsv2_intent_esft_token_lr3e-5
Base model
deepseek-ai/DeepSeek-V2-Lite