End of training
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README.md
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@@ -13,7 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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# Sentiment-google-t5-v1_1-xl-intra-frequency-model-cross-ent
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This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co/google/t5-v1_1-xl) on
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 200
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### Framework versions
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- Transformers 4.35.2
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# Sentiment-google-t5-v1_1-xl-intra-frequency-model-cross-ent
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This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co/google/t5-v1_1-xl) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 10.4219
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 14.3641 | 1.0 | 32 | 10.4219 |
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| 13.993 | 2.0 | 64 | 10.4219 |
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| 13.3539 | 3.0 | 96 | 10.4219 |
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| 14.0648 | 4.0 | 128 | 10.4141 |
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| 13.5898 | 5.0 | 160 | 10.4219 |
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| 13.8164 | 6.0 | 192 | 10.4219 |
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| 14.1805 | 7.0 | 224 | 10.4219 |
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| 13.8742 | 8.0 | 256 | 10.4219 |
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### Framework versions
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- Transformers 4.35.2
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