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falcon7binstruct_fine_tunning_PPF_english_conversations_2
itimal/falcon7binstruct_fine_tunning_PPF_english_conversations_2
falcon7binstruct_fine_tunning_PPF_english_conversations_2 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 18, 2024
- Updated
- Jul 22, 2024
- SHA
- 303a5fa5
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. -->
falcon7binstruct_fine_tunning_PPF_english_conversations_2
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: 0.3611
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: 250
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4114 | 0.0667 | 10 | 0.8542 |
| 0.715 | 0.1333 | 20 | 0.6213 |
| 0.5797 | 0.2 | 30 | 0.5449 |
| 0.5136 | 0.2667 | 40 | 0.5064 |
| 0.4744 | 0.3333 | 50 | 0.4767 |
| 0.4719 | 0.4 | 60 | 0.4568 |
| 0.4437 | 0.4667 | 70 | 0.4366 |
| 0.4396 | 0.5333 | 80 | 0.4302 |
| 0.4078 | 0.6 | 90 | 0.4168 |
| 0.4571 | 0.6667 | 100 | 0.4099 |
| 0.3773 | 0.7333 | 110 | 0.4028 |
| 0.3879 | 0.8 | 120 | 0.3917 |
| 0.3965 | 0.8667 | 130 | 0.3832 |
| 0.3747 | 0.9333 | 140 | 0.3783 |
| 0.3626 | 1.0 | 150 | 0.3742 |
| 0.2861 | 1.0667 | 160 | 0.3721 |
| 0.2816 | 1.1333 | 170 | 0.3744 |
| 0.3017 | 1.2 | 180 | 0.3737 |
| 0.2946 | 1.2667 | 190 | 0.3687 |
| 0.3064 | 1.3333 | 200 | 0.3672 |
| 0.3031 | 1.4 | 210 | 0.3651 |
| 0.2959 | 1.4667 | 220 | 0.3628 |
| 0.2854 | 1.5333 | 230 | 0.3615 |
| 0.2972 | 1.6 | 240 | 0.3612 |
| 0.291 | 1.6667 | 250 | 0.3611 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 18, 2024
- Updated
- Jul 22, 2024