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jgibb/BART_1st_STAGE_SUMMARIZER
BART_1st_STAGE_SUMMARIZER is a machine learning model from jgibb. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer |
|---|---|---|---|---|---|---|---|---|
| No log | 0.21 | 250 | 1.3973 | 0.7211 | 0.486 | 0.6611 | 0.6661 | 0.417 |
| 1.969 | 0.42 | 500 | 1.2499 | 0.7303 | 0.4988 | 0.67 | 0.6745 | 0.4056 |
| 1.969 | 0.63 | 750 | 1.2039 | 0.734 | 0.5068 | 0.6761 | 0.6798 | 0.3977 |
| 1.3659 | 0.84 | 1000 | 1.1826 | 0.7384 | 0.5134 | 0.6809 | 0.6852 | 0.3923 |