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mistral-convsearch-7b
erbacher/mistral-convsearch-7b
mistral-convsearch-7b is a machine learning model from erbacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Dec 18, 2023
Repo size
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 17, 2023
- Updated
- Dec 18, 2023
- SHA
- ec0e9a36
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mistral-convsearch-7b
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6596
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9605 | 0.62 | 34 | 0.9471 |
| 0.7935 | 1.62 | 68 | 0.7886 |
| 0.7104 | 2.62 | 102 | 0.7083 |
| 0.6798 | 3.62 | 136 | 0.6753 |
| 0.6571 | 4.62 | 170 | 0.6582 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Dec 17, 2023
- Updated
- Dec 18, 2023