amornpan/openthaigpt-MedChatModelv9

Model Card for Model ID

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

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: [More Information Needed]
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: [More Information Needed]
• Language(s) (NLP): [More Information Needed]
• License: [More Information Needed]
• Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: [More Information Needed]
• Hours used: [More Information Needed]
• Cloud Provider: [More Information Needed]
• Compute Region: [More Information Needed]
• Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]