persona-chat-gpt-neo
This model is a fine-tuned version of IProject-10/gpt-neo-daily-dialog on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3551
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.8898 | 0.9998 | 1117 | 2.0927 |
0.7337 | 1.9996 | 2234 | 2.2669 |
0.6361 | 2.9993 | 3351 | 2.3551 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for IProject-10/persona-chat-gpt-neo
Base model
EleutherAI/gpt-neo-125m
Finetuned
IProject-10/gpt-neo-daily-dialog