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Llama2_7B_chat_meetingBank_ft_adapters_EOS
Jukaboo/Llama2_7B_chat_meetingBank_ft_adapters_EOS
Llama2_7B_chat_meetingBank_ft_adapters_EOS is a machine learning model from Jukaboo. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 14, 2023
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At a glance
- Access
- Public
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023
- SHA
- 8e3d42e5
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. -->
Llama2_7B_chat_meetingBank_ft_adapters_EOS
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9934
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 0.05
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2432 | 0.2 | 13 | 2.2215 |
| 2.1909 | 0.4 | 26 | 2.0960 |
| 2.2498 | 0.6 | 39 | 2.0220 |
| 2.2679 | 0.8 | 52 | 1.9934 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Created
- Nov 14, 2023
- Updated
- Nov 14, 2023