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HCV-finetuned – AI Model by fecia | AlphaNeural AI
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fecia
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HCV-finetuned
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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HCV-finetuned
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4267
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.8834
1.0
1358
1.6445
1.502
2.0
2716
1.4672
1.4163
3.0
4074
1.4267
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
