Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use enriquesaou/debug_seq2seq_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/debug_seq2seq_squad with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enriquesaou/debug_seq2seq_squad") model = AutoModelForSeq2SeqLM.from_pretrained("enriquesaou/debug_seq2seq_squad") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +5 -1
- all_results.json +14 -0
- eval_results.json +8 -0
- runs/Jun03_20-36-48_3ae2d9ab28bf/events.out.tfevents.1717454282.3ae2d9ab28bf.7388.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +343 -0
README.md
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: debug_seq2seq_squad
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/wdlupjr7)
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# debug_seq2seq_squad
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-
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on
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## Model description
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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datasets:
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- squad_v2
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model-index:
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- name: debug_seq2seq_squad
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/wdlupjr7)
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# debug_seq2seq_squad
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+
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7565
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## Model description
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all_results.json
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{
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"epoch": 2.0,
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"eval_loss": 0.7564865946769714,
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"eval_runtime": 109.7627,
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"eval_samples": 12309,
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"eval_samples_per_second": 112.142,
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"eval_steps_per_second": 14.021,
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"total_flos": 2.645641233904435e+16,
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"train_loss": 0.5331895410246172,
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"train_runtime": 7144.6567,
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"train_samples": 130319,
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"train_samples_per_second": 36.48,
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"train_steps_per_second": 3.04
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_loss": 0.7564865946769714,
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"eval_runtime": 109.7627,
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"eval_samples": 12309,
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"eval_samples_per_second": 112.142,
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"eval_steps_per_second": 14.021
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}
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runs/Jun03_20-36-48_3ae2d9ab28bf/events.out.tfevents.1717454282.3ae2d9ab28bf.7388.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:793ce4c20be7b4c6587b21c6f440034e6c1d1f2e85d951eb1406c9cc4c1846b0
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size 364
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train_results.json
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"total_flos": 2.645641233904435e+16,
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"train_loss": 0.5331895410246172,
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"train_steps_per_second": 3.04
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}
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trainer_state.json
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