End of training
Browse files- README.md +14 -15
- adapter_model.safetensors +1 -1
- runs/May27_03-29-08_313da2eeec49/events.out.tfevents.1716780560.313da2eeec49.741.0 +3 -0
- runs/May27_03-29-08_313da2eeec49/events.out.tfevents.1716780817.313da2eeec49.741.1 +3 -0
- runs/May27_03-37-38_313da2eeec49/events.out.tfevents.1716781070.313da2eeec49.6635.0 +3 -0
- training_args.bin +1 -1
README.md
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model-index:
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- name: gpt2-sentiment_analysis
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results: []
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the financial_phrasebank 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: {'accuracy': 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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model-index:
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- name: gpt2-sentiment_analysis
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the financial_phrasebank dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6571
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- Accuracy: {'accuracy': 0.8239339752407153}
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------------------------------:|
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| No log | 0.9981 | 257 | 0.4654 | {'accuracy': 0.8239339752407153} |
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| 0.6288 | 2.0 | 515 | 0.4266 | {'accuracy': 0.8266850068775791} |
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| 0.6288 | 2.9981 | 772 | 0.4558 | {'accuracy': 0.8225584594222833} |
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| 0.3201 | 4.0 | 1030 | 0.4550 | {'accuracy': 0.811554332874828} |
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| 0.3201 | 4.9981 | 1287 | 0.4223 | {'accuracy': 0.8294360385144429} |
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| 0.2464 | 6.0 | 1545 | 0.4637 | {'accuracy': 0.8335625859697386} |
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| 0.2464 | 6.9981 | 1802 | 0.5243 | {'accuracy': 0.8184319119669876} |
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| 0.1859 | 8.0 | 2060 | 0.5482 | {'accuracy': 0.8335625859697386} |
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| 0.1859 | 8.9981 | 2317 | 0.6443 | {'accuracy': 0.8335625859697386} |
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| 0.1381 | 9.9806 | 2570 | 0.6571 | {'accuracy': 0.8239339752407153} |
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### Framework versions
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adapter_model.safetensors
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