DarshanDeshpande
commited on
distilbert_social_reasoning_reward_model
Browse files- README.md +14 -14
- config.json +6 -0
- model.safetensors +2 -2
README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6309
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- Accuracy: 0.6958
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6618 | 0.24 | 10 | 0.6505 | 0.6725 |
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| 0.6357 | 0.48 | 20 | 0.6373 | 0.6497 |
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| 0.6457 | 0.72 | 30 | 0.6226 | 0.6725 |
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| 0.646 | 0.96 | 40 | 0.6437 | 0.6778 |
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| 0.6448 | 1.2 | 50 | 0.7565 | 0.6287 |
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| 0.6339 | 1.44 | 60 | 0.6365 | 0.6655 |
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| 0.6207 | 1.68 | 70 | 0.6694 | 0.6778 |
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| 0.6217 | 1.92 | 80 | 0.6351 | 0.6340 |
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| 0.5928 | 2.16 | 90 | 0.7245 | 0.6497 |
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| 0.5938 | 2.4 | 100 | 0.6739 | 0.6497 |
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| 0.5873 | 2.63 | 110 | 0.6811 | 0.6357 |
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| 0.5442 | 2.87 | 120 | 0.6774 | 0.6375 |
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### Framework versions
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config.json
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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model.safetensors
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size
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size 267829484
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