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my_thesis
keyhan-skypolitan/my_thesis
my_thesis is a machine learning model from keyhan-skypolitan. 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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.safetensors261 MB · 99%
At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024
- SHA
- 470a0ad2
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. -->
my_thesis
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2940
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 320
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0695 | 0.1794 | 20 | 1.7234 |
| 1.7581 | 0.3587 | 40 | 1.3875 |
| 1.6152 | 0.5381 | 60 | 1.3234 |
| 1.7435 | 0.7175 | 80 | 1.2944 |
| 1.3584 | 0.8969 | 100 | 1.2529 |
| 1.385 | 1.0762 | 120 | 1.2271 |
| 1.3231 | 1.2556 | 140 | 1.3666 |
| 1.2051 | 1.4350 | 160 | 1.2044 |
| 1.1207 | 1.6143 | 180 | 1.2379 |
| 1.1716 | 1.7937 | 200 | 1.1969 |
| 1.31 | 1.9731 | 220 | 1.2153 |
| 0.9115 | 2.1525 | 240 | 1.2411 |
| 0.7857 | 2.3318 | 260 | 1.2940 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024