End of training
Browse files- README.md +7 -7
- model.safetensors +1 -1
- runs/Jun10_07-14-20_c19863619500/events.out.tfevents.1718003668.c19863619500.12669.6 +3 -0
- runs/Jun10_07-14-20_c19863619500/events.out.tfevents.1718004097.c19863619500.12669.7 +3 -0
- runs/Jun10_07-23-13_c19863619500/events.out.tfevents.1718004200.c19863619500.12669.8 +3 -0
- runs/Jun10_07-23-13_c19863619500/events.out.tfevents.1718004876.c19863619500.12669.9 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.
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- eval_accuracy: {'accuracy': 0.
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- eval_f1score: {'f1': 0.
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- eval_runtime:
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- eval_samples_per_second:
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- eval_steps_per_second: 3.
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- step: 0
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- num_epochs: 10
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### Framework versions
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This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.5364
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- eval_accuracy: {'accuracy': 0.8045112781954887}
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- eval_f1score: {'f1': 0.7918628191903089}
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- eval_runtime: 4.438
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- eval_samples_per_second: 29.968
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- eval_steps_per_second: 3.831
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- step: 0
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 132
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- num_epochs: 10
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### Framework versions
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model.safetensors
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