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---
license: mit
base_model: IProject-10/gpt-neo-daily-dialog
tags:
- generated_from_trainer
model-index:
- name: persona-chat-gpt-neo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# persona-chat-gpt-neo
This model is a fine-tuned version of [IProject-10/gpt-neo-daily-dialog](https://huggingface.co/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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