Instructions to use gaetangate/bart-large_genrl_qald9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaetangate/bart-large_genrl_qald9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gaetangate/bart-large_genrl_qald9") model = AutoModelForSeq2SeqLM.from_pretrained("gaetangate/bart-large_genrl_qald9") - Notebooks
- Google Colab
- Kaggle
Commit ·
8654791
1
Parent(s): 5e94879
Upload all_results.json
Browse files- all_results.json +15 -0
all_results.json
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{
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"epoch": 10.0,
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"eval_gen_len": 10.6045,
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"eval_loss": 0.8084543347358704,
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"eval_rouge1": 79.3301,
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"eval_rouge2": 64.9529,
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"eval_rougeL": 78.3357,
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"eval_rougeLsum": 78.5356,
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"eval_runtime": 11.7723,
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"eval_samples": 134,
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"eval_samples_per_second": 11.383,
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"train_runtime": 595.2302,
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"train_samples": 398,
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"train_samples_per_second": 1.68
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}
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