End of training
Browse files- README.md +7 -7
- model.safetensors +1 -1
- runs/Jun28_01-52-49_d92b7fda5af7/events.out.tfevents.1719539576.d92b7fda5af7.257.6 +3 -0
- runs/Jun28_01-52-49_d92b7fda5af7/events.out.tfevents.1719539588.d92b7fda5af7.257.7 +3 -0
- runs/Jun28_01-53-52_d92b7fda5af7/events.out.tfevents.1719539639.d92b7fda5af7.257.8 +3 -0
- runs/Jun28_01-53-52_d92b7fda5af7/events.out.tfevents.1719540209.d92b7fda5af7.257.9 +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: 4.
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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: 0.3304
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- eval_accuracy: {'accuracy': 0.8993288590604027}
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- eval_f1score: {'f1': 0.892047439551347}
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- eval_runtime: 4.7974
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- eval_samples_per_second: 31.058
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- eval_steps_per_second: 3.96
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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: 222
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- num_epochs: 10
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### Framework versions
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model.safetensors
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training_args.bin
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