End of training
Browse files- README.md +9 -9
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/May06_02-26-41_930f38d6e5d3/events.out.tfevents.1714962404.930f38d6e5d3.161.0 +3 -0
- tokenizer.json +2 -2
- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Gen Len: 6.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 39 | 0.
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| No log | 2.0 | 78 | 0.
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| No log | 3.0 | 117 | 0.
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| No log | 4.0 | 156 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2.1+cu121
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- Datasets 2.
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- Tokenizers 0.
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4294
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Gen Len: 6.0519
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 39 | 0.4279 | 0.0 | 0.0 | 0.0 | 0.0 | 5.8442 |
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| No log | 2.0 | 78 | 0.4427 | 0.0 | 0.0 | 0.0 | 0.0 | 5.7532 |
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| No log | 3.0 | 117 | 0.4261 | 0.0 | 0.0 | 0.0 | 0.0 | 5.7273 |
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| No log | 4.0 | 156 | 0.4294 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0519 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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"static_position_embeddings": false,
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"tokenizer_class": "MBart50Tokenizer",
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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": 250054
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}
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"static_position_embeddings": false,
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"tokenizer_class": "MBart50Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"use_cache": true,
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"vocab_size": 250054
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}
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generation_config.json
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.
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}
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.40.1"
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}
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model.safetensors
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runs/May06_02-26-41_930f38d6e5d3/events.out.tfevents.1714962404.930f38d6e5d3.161.0
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tokenizer.json
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training_args.bin
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