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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: tiiuae/falcon-7b-instruct |
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model-index: |
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- name: Falcon-7b-Finetuned-MBPP-Dataset-base |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Falcon-7b-Finetuned-MBPP-Dataset-base |
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This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9306 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8233 | 0.07 | 50 | 1.5671 | |
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| 1.673 | 0.15 | 100 | 1.5646 | |
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| 1.635 | 0.22 | 150 | 1.5569 | |
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| 1.4232 | 0.29 | 200 | 1.5369 | |
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| 1.4397 | 0.37 | 250 | 1.5073 | |
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| 1.5663 | 0.44 | 300 | 1.4721 | |
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| 1.4632 | 0.51 | 350 | 1.4342 | |
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| 1.6059 | 0.59 | 400 | 1.3978 | |
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| 1.6951 | 0.66 | 450 | 1.3606 | |
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| 1.7563 | 0.73 | 500 | 1.3241 | |
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| 0.939 | 0.81 | 550 | 1.2867 | |
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| 0.8452 | 0.88 | 600 | 1.2481 | |
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| 1.1147 | 0.95 | 650 | 1.2084 | |
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| 0.8543 | 1.03 | 700 | 1.1682 | |
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| 0.6985 | 1.1 | 750 | 1.1356 | |
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| 1.0973 | 1.17 | 800 | 1.1100 | |
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| 2.0793 | 1.25 | 850 | 1.0892 | |
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| 0.9806 | 1.32 | 900 | 1.0713 | |
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| 0.8114 | 1.4 | 950 | 1.0555 | |
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| 1.4202 | 1.47 | 1000 | 1.0425 | |
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| 0.7755 | 1.54 | 1050 | 1.0314 | |
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| 0.8624 | 1.62 | 1100 | 1.0223 | |
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| 1.6017 | 1.69 | 1150 | 1.0143 | |
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| 1.069 | 1.76 | 1200 | 1.0071 | |
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| 1.2192 | 1.84 | 1250 | 1.0007 | |
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| 0.8816 | 1.91 | 1300 | 0.9944 | |
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| 0.9615 | 1.98 | 1350 | 0.9887 | |
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| 1.2626 | 2.06 | 1400 | 0.9833 | |
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| 1.0128 | 2.13 | 1450 | 0.9787 | |
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| 0.7951 | 2.2 | 1500 | 0.9741 | |
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| 1.0879 | 2.28 | 1550 | 0.9701 | |
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| 1.0546 | 2.35 | 1600 | 0.9661 | |
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| 0.9218 | 2.42 | 1650 | 0.9625 | |
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| 1.1159 | 2.5 | 1700 | 0.9591 | |
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| 0.6223 | 2.57 | 1750 | 0.9561 | |
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| 0.7334 | 2.64 | 1800 | 0.9536 | |
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| 0.9296 | 2.72 | 1850 | 0.9512 | |
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| 1.0653 | 2.79 | 1900 | 0.9489 | |
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| 0.8812 | 2.86 | 1950 | 0.9469 | |
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| 0.7767 | 2.94 | 2000 | 0.9452 | |
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| 0.9707 | 3.01 | 2050 | 0.9435 | |
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| 1.1393 | 3.08 | 2100 | 0.9420 | |
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| 0.8604 | 3.16 | 2150 | 0.9407 | |
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| 0.7592 | 3.23 | 2200 | 0.9396 | |
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| 0.8046 | 3.3 | 2250 | 0.9385 | |
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| 1.5882 | 3.38 | 2300 | 0.9375 | |
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| 1.0068 | 3.45 | 2350 | 0.9366 | |
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| 1.205 | 3.52 | 2400 | 0.9357 | |
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| 0.689 | 3.6 | 2450 | 0.9350 | |
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| 0.8573 | 3.67 | 2500 | 0.9344 | |
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| 1.072 | 3.74 | 2550 | 0.9338 | |
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| 0.9188 | 3.82 | 2600 | 0.9332 | |
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| 1.3385 | 3.89 | 2650 | 0.9327 | |
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| 0.9067 | 3.96 | 2700 | 0.9324 | |
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| 0.9993 | 4.04 | 2750 | 0.9321 | |
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| 0.8222 | 4.11 | 2800 | 0.9317 | |
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| 0.8129 | 4.19 | 2850 | 0.9315 | |
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| 0.7861 | 4.26 | 2900 | 0.9313 | |
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| 1.3126 | 4.33 | 2950 | 0.9311 | |
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| 0.9465 | 4.41 | 3000 | 0.9310 | |
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| 0.9444 | 4.48 | 3050 | 0.9309 | |
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| 0.5677 | 4.55 | 3100 | 0.9308 | |
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| 0.7046 | 4.63 | 3150 | 0.9307 | |
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| 1.5036 | 4.7 | 3200 | 0.9307 | |
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| 1.0087 | 4.77 | 3250 | 0.9307 | |
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| 0.6705 | 4.85 | 3300 | 0.9306 | |
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| 1.0425 | 4.92 | 3350 | 0.9306 | |
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| 0.3666 | 4.99 | 3400 | 0.9306 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
