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llama-7b-orca
vincentmin/llama-7b-orca
llama-7b-orca is a machine learning model from vincentmin. 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 Jul 21, 2023
Repo size
118 MB
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At a glance
- Access
- Public
- Created
- Jul 20, 2023
- Updated
- Jul 21, 2023
- SHA
- 9b44de31
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. -->
llama-7b-orca
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: 1.4944
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6959 | 0.08 | 200 | 1.6441 |
| 1.6234 | 0.17 | 400 | 1.5693 |
| 1.5931 | 0.25 | 600 | 1.5452 |
| 1.5003 | 0.34 | 800 | 1.5316 |
| 1.5346 | 0.42 | 1000 | 1.5209 |
| 1.5026 | 0.51 | 1200 | 1.5123 |
| 1.5608 | 0.59 | 1400 | 1.5059 |
| 1.5332 | 0.68 | 1600 | 1.5009 |
| 1.5209 | 0.76 | 1800 | 1.4970 |
| 1.4955 | 0.85 | 2000 | 1.4944 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Created
- Jul 20, 2023
- Updated
- Jul 21, 2023