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---
license: mit
tags:
- generated_from_trainer
datasets: Isotonic/human_assistant_conversation
metrics:
- accuracy
model-index:
- name: Human_assistant_conversation
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. -->
# test_clm
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on [Isotonic/human_assistant_conversation](https://huggingface.co/datasets/Isotonic/human_assistant_conversation) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9530
- Perplexity: 7.049969668510691
## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
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