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Mistral-7B_task-3_180-samples_config-2
GaetanMichelet/Mistral-7B_task-3_180-samples_config-2
Mistral-7B_task-3_180-samples_config-2 is a machine learning model from GaetanMichelet. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Aug 24, 2024
- Updated
- Aug 24, 2024
- SHA
- 0c37beb2
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-7B_task-3_180-samples_config-2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-3, the GaetanMichelet/chat-120_ft_task-3 and the GaetanMichelet/chat-180_ft_task-3 datasets. It achieves the following results on the evaluation set:
- Loss: 0.4077
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7267 | 0.9412 | 8 | 2.1990 |
| 0.8147 | 2.0 | 17 | 0.6679 |
| 0.4601 | 2.9412 | 25 | 0.4733 |
| 0.244 | 4.0 | 34 | 0.4196 |
| 0.2392 | 4.9412 | 42 | 0.4077 |
| 0.2333 | 6.0 | 51 | 0.4224 |
| 0.1101 | 6.9412 | 59 | 0.4903 |
| 0.0532 | 8.0 | 68 | 0.5854 |
| 0.0266 | 8.9412 | 76 | 0.6643 |
| 0.009 | 10.0 | 85 | 0.7163 |
| 0.0074 | 10.9412 | 93 | 0.7388 |
| 0.0055 | 12.0 | 102 | 0.7273 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 24, 2024
- Updated
- Aug 24, 2024