matthew-mcc
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End of training
Browse files- README.md +14 -10
- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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# google_summarization
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 1.
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| 1.
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### Framework versions
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---
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license: apache-2.0
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base_model: matthew-mcc/google_summarization
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tags:
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- generated_from_trainer
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model-index:
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# google_summarization
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This model is a fine-tuned version of [matthew-mcc/google_summarization](https://huggingface.co/matthew-mcc/google_summarization) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6378
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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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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.7453 | 1.0 | 1500 | 1.6085 |
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| 1.5817 | 2.0 | 3000 | 1.5919 |
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| 1.4864 | 3.0 | 4500 | 1.5984 |
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| 1.3933 | 4.0 | 6000 | 1.6007 |
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| 1.3403 | 5.0 | 7500 | 1.6159 |
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| 1.2759 | 6.0 | 9000 | 1.6277 |
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| 1.2191 | 7.0 | 10500 | 1.6324 |
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| 1.208 | 8.0 | 12000 | 1.6378 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "matthew-mcc/google_summarization",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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model.safetensors
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training_args.bin
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