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testts1234

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  1. README.md +21 -26
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [fahadqazi/testts1234](https://huggingface.co/fahadqazi/testts1234) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3086
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  ## Model description
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@@ -34,39 +34,34 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 64
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  - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: constant
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- - training_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.3542 | 0.3401 | 50 | 0.3087 |
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- | 0.3558 | 0.6803 | 100 | 0.3088 |
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- | 0.3571 | 1.0204 | 150 | 0.3085 |
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- | 0.3578 | 1.3605 | 200 | 0.3090 |
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- | 0.3608 | 1.7007 | 250 | 0.3091 |
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- | 0.3508 | 2.0408 | 300 | 0.3090 |
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- | 0.3551 | 2.3810 | 350 | 0.3088 |
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- | 0.3553 | 2.7211 | 400 | 0.3096 |
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- | 0.3572 | 3.0612 | 450 | 0.3090 |
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- | 0.3517 | 3.4014 | 500 | 0.3096 |
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- | 0.3633 | 3.7415 | 550 | 0.3094 |
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- | 0.3612 | 4.0816 | 600 | 0.3093 |
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- | 0.3655 | 4.4218 | 650 | 0.3091 |
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- | 0.3619 | 4.7619 | 700 | 0.3090 |
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- | 0.3601 | 5.1020 | 750 | 0.3090 |
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- | 0.3557 | 5.4422 | 800 | 0.3092 |
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- | 0.3533 | 5.7823 | 850 | 0.3094 |
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- | 0.3531 | 6.1224 | 900 | 0.3091 |
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- | 0.3597 | 6.4626 | 950 | 0.3100 |
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- | 0.3559 | 6.8027 | 1000 | 0.3086 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [fahadqazi/testts1234](https://huggingface.co/fahadqazi/testts1234) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3092
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 64
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  - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - training_steps: 1500
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 0.3565 | 0.6803 | 100 | 0.3094 |
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+ | 0.3532 | 1.3605 | 200 | 0.3091 |
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+ | 0.3528 | 2.0408 | 300 | 0.3084 |
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+ | 0.3619 | 2.7211 | 400 | 0.3092 |
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+ | 0.3574 | 3.4014 | 500 | 0.3088 |
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+ | 0.3584 | 4.0816 | 600 | 0.3090 |
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+ | 0.3526 | 4.7619 | 700 | 0.3090 |
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+ | 0.356 | 5.4422 | 800 | 0.3087 |
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+ | 0.3528 | 6.1224 | 900 | 0.3085 |
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+ | 0.353 | 6.8027 | 1000 | 0.3091 |
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+ | 0.3606 | 7.4830 | 1100 | 0.3087 |
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+ | 0.3531 | 8.1633 | 1200 | 0.3088 |
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+ | 0.3581 | 8.8435 | 1300 | 0.3088 |
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+ | 0.3503 | 9.5238 | 1400 | 0.3086 |
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+ | 0.3458 | 10.2041 | 1500 | 0.3092 |
 
 
 
 
 
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  ### Framework versions