End of training
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README.md
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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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- eval_runtime: 126.66
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- eval_samples_per_second: 32.796
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- eval_steps_per_second: 16.398
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- epoch: 1.9231
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- step: 500
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## Model description
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.47.1
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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: 0.4003
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## Model description
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- training_steps: 10000
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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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| 0.4412 | 1.9231 | 500 | 0.4350 |
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| 0.4381 | 3.8462 | 1000 | 0.4291 |
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| 0.4361 | 5.7692 | 1500 | 0.4394 |
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| 0.4382 | 7.6923 | 2000 | 0.4251 |
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| 0.4304 | 9.6154 | 2500 | 0.4305 |
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| 0.4321 | 11.5385 | 3000 | 0.4226 |
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| 0.423 | 13.4615 | 3500 | 0.4271 |
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| 0.4204 | 15.3846 | 4000 | 0.4234 |
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| 0.4212 | 17.3077 | 4500 | 0.4218 |
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| 0.4171 | 19.2308 | 5000 | 0.4209 |
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| 0.4116 | 21.1538 | 5500 | 0.4145 |
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| 0.4109 | 23.0769 | 6000 | 0.4083 |
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| 0.4045 | 25.0 | 6500 | 0.4100 |
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| 0.4058 | 26.9231 | 7000 | 0.4095 |
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| 0.3992 | 28.8462 | 7500 | 0.4078 |
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| 0.402 | 30.7692 | 8000 | 0.4072 |
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| 0.3987 | 32.6923 | 8500 | 0.4036 |
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| 0.396 | 34.6154 | 9000 | 0.4030 |
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| 0.3912 | 36.5385 | 9500 | 0.4010 |
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| 0.3937 | 38.4615 | 10000 | 0.4003 |
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### Framework versions
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- Transformers 4.47.1
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