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Mixtral_8x7B_instruct_A100_5k_Finetuned
Ai-Marshal/Mixtral_8x7B_instruct_A100_5k_Finetuned
Mixtral_8x7B_instruct_A100_5k_Finetuned is a machine learning model from Ai-Marshal. 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
- Access
- Public
- Created
- Feb 29, 2024
- Updated
- Mar 4, 2024
- SHA
- 93add5e4
Base models
Datasets
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. -->
Mixtral_8x7B_instruct_A100_5k_Finetuned
This model is a fine-tuned version of mistralai/Mixtral-8x7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4457
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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5452 | 1.0 | 201 | 0.4897 |
| 0.4473 | 2.0 | 402 | 0.4591 |
| 0.4865 | 3.0 | 603 | 0.4506 |
| 0.3804 | 4.0 | 804 | 0.4467 |
| 0.4376 | 5.0 | 1005 | 0.4457 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Feb 29, 2024
- Updated
- Mar 4, 2024