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512x4x1000_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0
Minata/512x4x1000_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0
512x4x1000_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0 is a machine learning model from Minata. 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 12, 2024
- Updated
- Feb 12, 2024
- SHA
- 2ec62ea4
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. -->
512_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0
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: 1.1088
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9983 | 0.0 | 100 | 1.1595 |
| 0.9435 | 0.0 | 200 | 1.1294 |
| 0.906 | 0.0 | 300 | 1.1200 |
| 0.8821 | 0.0 | 400 | 1.1183 |
| 0.8983 | 0.0 | 500 | 1.1131 |
| 0.8696 | 0.01 | 600 | 1.1222 |
| 0.8919 | 0.01 | 700 | 1.1163 |
| 0.8876 | 0.01 | 800 | 1.1043 |
| 0.8582 | 0.01 | 900 | 1.1071 |
| 0.8854 | 0.01 | 1000 | 1.1088 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Feb 12, 2024
- Updated
- Feb 12, 2024