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mistral-QA-ViMMRC-Squad
Angelectronic/mistral-QA-ViMMRC-Squad
mistral-QA-ViMMRC-Squad is a machine learning model from Angelectronic. 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.
- Developed by: Angelectronic - License: apache-2.0 - Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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Public
Updated May 27, 2024
Repo size
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 27, 2024
- SHA
- 836d7750
Base models
Model card
From the Hugging Face model README
Uploaded model
- Developed by: Angelectronic
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Evaluation
- ViMMRC test set: 0.7913 accuracy
Training results
| Training Loss | Accuracy | Step | Validation Loss |
|---|---|---|---|
| 1.031300 | 0.764065 | 240 | 1.471467 |
| 0.854200 | 0.767695 | 480 | 1.459051 |
| 0.753000 | 0.791288 | 720 | 1.521693 |
| 0.669600 | 0.767695 | 960 | 1.521454 |
| 0.592300 | 0.771324 | 1200 | 1.590301 |
| 0.496500 | 0.780399 | 1440 | 1.608687 |
| 0.381800 | 0.785843 | 1680 | 1.641979 |
| 0.334100 | 0.769510 | 1920 | 1.629696 |
| 0.285500 | 0.769510 | 2160 | 1.715881 |
| 0.242200 | 0.765880 | 2400 | 1.747410 |
| 0.200000 | 0.773140 | 2640 | 1.813693 |
| 0.146800 | 0.765880 | 2880 | 1.937426 |
| 0.112200 | 0.776769 | 3120 | 1.937926 |
| 0.101500 | 0.765880 | 3360 | 1.997301 |
| 0.094200 | 0.764065 | 3600 | 1.968903 |
| 0.087000 | 0.758621 | 3840 | 2.004644 |
| 0.084600 | 0.762250 | 4080 | 2.010856 |
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- eval_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- May 26, 2024
- Updated
- May 27, 2024