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openthaigpt-MedChatModelv9
amornpan/openthaigpt-MedChatModelv9
openthaigpt-MedChatModelv9 is a machine learning model from amornpan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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Updated Oct 21, 2024
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024
- SHA
- 1a64124e
Model card
From the Hugging Face model README
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->2024-10-21 19:23:08,690 - Step: 750, Logs: {'loss': 1.2271, 'grad_norm': 0.06456532329320908, 'learning_rate': 1.5980608369412908e-05, 'epoch': 125.0, 'step': 750}
2024-10-21 19:23:08,690 - Training Loss: 1.2271
2024-10-21 19:23:27,835 - Step: 750, Logs: {'eval_loss': 1.2934688329696655, 'eval_runtime': 19.1422, 'eval_samples_per_second': 11.911, 'eval_steps_per_second': 1.515, 'epoch': 125.0, 'step': 750}
2024-10-21 19:23:27,835 - Validation Loss: 1.2934688329696655
2024-10-21 19:37:47,810 - Step: 800, Logs: {'loss': 1.214, 'grad_norm': 0.06403172016143799, 'learning_rate': 1.469888811684324e-05, 'epoch': 133.33333333333334, 'step': 800}
2024-10-21 19:37:47,810 - Training Loss: 1.214
2024-10-21 19:38:06,951 - Step: 800, Logs: {'eval_loss': 1.2932325601577759, 'eval_runtime': 19.1384, 'eval_samples_per_second': 11.913, 'eval_steps_per_second': 1.515, 'epoch': 133.33333333333334, 'step': 800}
2024-10-21 19:38:06,952 - Validation Loss: 1.2932325601577759
2024-10-21 19:52:28,460 - Step: 850, Logs: {'loss': 1.202, 'grad_norm': 0.07221611589193344, 'learning_rate': 1.3308935187709313e-05, 'epoch': 141.66666666666666, 'step': 850}
2024-10-21 19:52:28,461 - Training Loss: 1.202
2024-10-21 19:52:47,610 - Step: 850, Logs: {'eval_loss': 1.2937428951263428, 'eval_runtime': 19.1469, 'eval_samples_per_second': 11.908, 'eval_steps_per_second': 1.515, 'epoch': 141.66666666666666, 'step': 850}
2024-10-21 19:52:47,610 - Validation Loss: 1.2937428951263428
2024-10-21 20:07:07,416 - Step: 900, Logs: {'loss': 1.1901, 'grad_norm': 0.08854028582572937, 'learning_rate': 1.1842765310429778e-05, 'epoch': 150.0, 'step': 900}
2024-10-21 20:07:07,416 - Training Loss: 1.1901
2024-10-21 20:07:26,555 - Step: 900, Logs: {'eval_loss': 1.2950921058654785, 'eval_runtime': 19.136, 'eval_samples_per_second': 11.915, 'eval_steps_per_second': 1.515, 'epoch': 150.0, 'step': 900}
2024-10-21 20:07:26,555 - Validation Loss: 1.2950921058654785
2024-10-21 20:11:30,601 - Total training time: 3764.0017805099487 seconds
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Training Details
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Environmental Impact
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- Library
- transformers
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024