Model save
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README.md
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown 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:
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- Rouge2:
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- Rougel:
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- Rougelsum:
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 0.1338 | 11.0 | 440 | 0.1206 | 50.0612 | 37.7502 | 42.3231 | 42.4899 |
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| 0.1142 | 12.0 | 480 | 0.0899 | 52.8525 | 40.2391 | 45.0142 | 45.1042 |
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| 0.1004 | 13.0 | 520 | 0.0706 | 54.8157 | 43.1336 | 46.6612 | 46.6237 |
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| 0.086 | 14.0 | 560 | 0.0564 | 55.0703 | 43.5883 | 47.3974 | 47.5532 |
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| 0.0695 | 15.0 | 600 | 0.0451 | 53.8285 | 44.1487 | 48.4204 | 48.5559 |
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| 0.0594 | 16.0 | 640 | 0.0357 | 55.0319 | 43.9487 | 47.9211 | 47.969 |
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| 0.0508 | 17.0 | 680 | 0.0346 | 56.3059 | 45.3574 | 49.1356 | 49.2768 |
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| 0.04 | 18.0 | 720 | 0.0279 | 57.2262 | 46.371 | 50.2692 | 50.2699 |
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| 0.0358 | 19.0 | 760 | 0.0259 | 55.606 | 45.1493 | 49.3667 | 49.4148 |
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| 0.0337 | 20.0 | 800 | 0.0243 | 55.9358 | 45.6813 | 49.2605 | 49.2571 |
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### Framework versions
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- Transformers 4.40.
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- Pytorch 2.
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1308
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- Rouge1: 49.6683
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- Rouge2: 37.3929
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- Rougel: 41.666
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- Rougelsum: 41.5602
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 0.696 | 1.0 | 40 | 0.2500 | 43.2634 | 27.0334 | 33.128 | 32.9348 |
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| 0.2625 | 2.0 | 80 | 0.2228 | 42.4679 | 27.647 | 31.9258 | 31.7877 |
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| 0.2425 | 3.0 | 120 | 0.2082 | 44.0252 | 30.8098 | 33.9707 | 33.9697 |
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| 0.2266 | 4.0 | 160 | 0.1936 | 45.3968 | 32.4864 | 36.0748 | 35.9962 |
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| 0.2031 | 5.0 | 200 | 0.1823 | 47.2956 | 34.832 | 38.3544 | 38.2526 |
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| 0.2056 | 6.0 | 240 | 0.1677 | 46.3752 | 34.4471 | 37.3837 | 37.262 |
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| 0.1819 | 7.0 | 280 | 0.1570 | 47.8024 | 35.2228 | 39.4649 | 39.3768 |
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| 0.1762 | 8.0 | 320 | 0.1461 | 47.9403 | 37.0271 | 41.7617 | 41.6654 |
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| 0.1637 | 9.0 | 360 | 0.1376 | 48.2515 | 36.0442 | 40.149 | 40.0905 |
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| 0.1484 | 10.0 | 400 | 0.1308 | 49.6683 | 37.3929 | 41.666 | 41.5602 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.3.0+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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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.40.
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"use_cache": false,
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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": "4.40.1",
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"use_cache": false,
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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": "4.40.
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"use_cache": false
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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": "4.40.1",
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"use_cache": false
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}
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model.safetensors
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runs/Apr24_20-08-18_npy210lwh9/events.out.tfevents.1713989340.npy210lwh9.224.0
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training_args.bin
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