End of training
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README.md
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# testts1234
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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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## Model description
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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: linear
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- lr_scheduler_warmup_steps: 200
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- training_steps:
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- mixed_precision_training: Native AMP
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### Framework versions
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# testts1234
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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_loss: 0.4405
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- eval_runtime: 133.2565
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- eval_samples_per_second: 31.173
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- eval_steps_per_second: 15.586
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- epoch: 6.7340
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- step: 2000
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## Model description
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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: linear
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- lr_scheduler_warmup_steps: 200
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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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model.safetensors
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