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results
talazz/results
results is a machine learning model from talazz. 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.
should probably proofread and complete it, then remove this comment. --
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.safetensors687 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 19, 2024
- SHA
- 091bcd87
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. -->
results
This model is a fine-tuned version of TinyPixel/Llama-2-7B-bf16-sharded on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5778
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: 0.0004
- 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: constant
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3877 | 1.0 | 4174 | 0.5778 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- Created
- May 11, 2024
- Updated
- May 19, 2024