andyfriedrich-amd
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End of training
Browse files- README.md +8 -8
- config.json +2 -1
- generation_config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +2 -2
README.md
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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Bleu: 0.
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- Gen Len:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| No log | 1.0 | 8 | 2.
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| No log | 2.0 | 16 | 2.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.14.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1911
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- Bleu: 0.1208
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- Gen Len: 18.9504
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| No log | 1.0 | 8 | 2.3434 | 0.1222 | 18.9504 |
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| No log | 2.0 | 16 | 2.1911 | 0.1208 | 18.9504 |
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### Framework versions
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- Transformers 4.32.0
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- Pytorch 2.1.0a0+git794e397
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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config.json
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 512,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 32128
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}
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 512,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.32.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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generation_config.json
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.
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}
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.32.0"
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}
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pytorch_model.bin
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training_args.bin
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size 4416
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