ibraheemaloran
commited on
Commit
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Parent(s):
d4f5e51
dialogue_bart
Browse files
README.md
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---
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license: mit
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base_model: facebook/bart-large-cnn
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tags:
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 148 | 0.
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| No log | 2.0 | 296 | 0.
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| No log | 3.0 | 444 | 0.
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| 0.1426 | 4.0 | 592 | 0.2660 |
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| 0.1426 | 5.0 | 740 | 0.2853 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets
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- Tokenizers 0.19.1
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---
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library_name: transformers
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license: mit
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base_model: facebook/bart-large-cnn
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tags:
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1346
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 148 | 0.1932 |
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| No log | 2.0 | 296 | 0.1462 |
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| No log | 3.0 | 444 | 0.1346 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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config.json
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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": 50264
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}
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 50264
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}
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generation_config.json
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.
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}
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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training_args.bin
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