End of training
Browse files- README.md +6 -6
- config.json +4 -6
- model.safetensors +1 -1
- runs/Nov13_07-27-08_d351add9b4df/events.out.tfevents.1699860430.d351add9b4df.5531.2 +3 -0
- runs/Nov13_07-36-01_d351add9b4df/events.out.tfevents.1699860964.d351add9b4df.5531.3 +3 -0
- runs/Nov13_07-43-27_d351add9b4df/events.out.tfevents.1699861429.d351add9b4df.5531.4 +3 -0
- runs/Nov13_07-49-19_d351add9b4df/events.out.tfevents.1699861767.d351add9b4df.18831.0 +3 -0
- runs/Nov13_07-50-59_d351add9b4df/events.out.tfevents.1699861863.d351add9b4df.18831.1 +3 -0
- runs/Nov13_07-51-25_d351add9b4df/events.out.tfevents.1699861890.d351add9b4df.18831.2 +3 -0
- runs/Nov13_07-51-25_d351add9b4df/events.out.tfevents.1699863052.d351add9b4df.18831.3 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) 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:
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- step: 0
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## Model description
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This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.6234
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- eval_accuracy: {'accuracy': 0.7055630936227951}
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- eval_f1score: {'f1': 0.695644141066491}
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- eval_runtime: 12.2657
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- eval_samples_per_second: 60.086
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- eval_steps_per_second: 7.582
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- step: 0
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## Model description
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config.json
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "
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"1": "
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"2": "negative"
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"initializer_range": 0.02,
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"label2id": {
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"negative":
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"
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"positive": 0
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "negative",
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"1": "positive"
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},
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"initializer_range": 0.02,
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"label2id": {
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"negative": 0,
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"positive": 1
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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model.safetensors
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