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Vigogne70b-last_fan
affecto/Vigogne70b-last_fan
Vigogne70b-last_fan is a machine learning model from affecto. 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 llama2.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 4, 2023
Repo size
3.7 GB
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Repo makeup
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At a glance
- License
- llama2
- Access
- Public
- Created
- Nov 29, 2023
- Updated
- Dec 4, 2023
- SHA
- 26cfc5fd
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. -->
Vigogne70b-last_fan
This model is a fine-tuned version of TheBloke/vigogne-2-70B-chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8007
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.04 | 200 | 0.9786 |
| No log | 0.09 | 400 | 0.9424 |
| 0.9766 | 0.13 | 600 | 0.9057 |
| 0.9766 | 0.18 | 800 | 0.8812 |
| 0.8539 | 0.22 | 1000 | 0.8675 |
| 0.8539 | 0.27 | 1200 | 0.8434 |
| 0.8539 | 0.31 | 1400 | 0.8311 |
| 0.8396 | 0.36 | 1600 | 0.8195 |
| 0.8396 | 0.4 | 1800 | 0.8073 |
| 0.7841 | 0.44 | 2000 | 0.8007 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- llama2
- Created
- Nov 29, 2023
- Updated
- Dec 4, 2023