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falcon7binstruct_fine_tunning_PPF_english_conversations_fake
itimal/falcon7binstruct_fine_tunning_PPF_english_conversations_fake
falcon7binstruct_fine_tunning_PPF_english_conversations_fake is a machine learning model from itimal. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 24, 2024
- Updated
- Jul 24, 2024
- SHA
- ad98c382
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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
falcon7binstruct_fine_tunning_PPF_english_conversations_fake
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4691
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 0.03
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7389 | 0.0667 | 10 | 0.6081 |
| 0.56 | 0.1333 | 20 | 0.5264 |
| 0.5216 | 0.2 | 30 | 0.4919 |
| 0.4881 | 0.2667 | 40 | 0.4722 |
| 0.4646 | 0.3333 | 50 | 0.4691 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 24, 2024
- Updated
- Jul 24, 2024