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enriquesaou/T5_mrqa_b32_9ep
T5_mrqa_b32_9ep is a machine learning model from enriquesaou. 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. --
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.safetensors308 MB · 100%
From the Hugging Face model README
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
This model is a fine-tuned version of google/flan-t5-small 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 |
|---|---|---|---|
| No log | 1.0 | 300 | 0.7897 |
| 0.9438 | 2.0 | 600 | 0.7702 |
| 0.9438 | 3.0 | 900 | 0.7400 |
| 0.9153 | 4.0 | 1200 | 0.7380 |
| 0.8721 | 5.0 | 1500 | 0.7316 |
| 0.8721 | 6.0 | 1800 | 0.7277 |
| 0.8536 | 7.0 | 2100 | 0.7277 |
| 0.8536 | 8.0 | 2400 | 0.7275 |
| 0.8291 | 9.0 | 2700 | 0.7267 |