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--- |
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license: apache-2.0 |
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base_model: tiiuae/falcon-7b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: falcon-rewrite-581-smallset |
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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-rewrite-581-smallset |
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8029 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 0.03 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4551 | 0.04 | 10 | 2.4085 | |
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| 1.4203 | 0.08 | 20 | 2.3957 | |
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| 1.6967 | 0.13 | 30 | 2.1396 | |
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| 1.5897 | 0.17 | 40 | 2.2547 | |
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| 1.4068 | 0.21 | 50 | 2.2484 | |
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| 2.4724 | 0.25 | 60 | 2.1803 | |
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| 1.6358 | 0.3 | 70 | 2.0363 | |
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| 1.7565 | 0.34 | 80 | 2.3048 | |
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| 1.9326 | 0.38 | 90 | 2.2237 | |
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| 1.4726 | 0.42 | 100 | 1.9666 | |
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| 2.6885 | 0.47 | 110 | 2.0889 | |
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| 1.7221 | 0.51 | 120 | 2.0868 | |
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| 2.7958 | 0.55 | 130 | 2.0033 | |
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| 1.6916 | 0.59 | 140 | 2.0824 | |
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| 0.9544 | 0.64 | 150 | 2.1048 | |
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| 1.8363 | 0.68 | 160 | 1.9306 | |
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| 2.2805 | 0.72 | 170 | 2.0956 | |
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| 2.2398 | 0.76 | 180 | 2.1049 | |
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| 1.0369 | 0.81 | 190 | 2.0348 | |
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| 0.9023 | 0.85 | 200 | 1.9050 | |
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| 1.1511 | 0.89 | 210 | 2.0645 | |
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| 1.1805 | 0.93 | 220 | 1.9241 | |
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| 1.0402 | 0.97 | 230 | 2.0542 | |
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| 1.1116 | 1.02 | 240 | 1.9184 | |
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| 2.2786 | 1.06 | 250 | 2.0039 | |
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| 1.5313 | 1.1 | 260 | 1.9232 | |
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| 1.0101 | 1.14 | 270 | 1.8365 | |
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| 1.3444 | 1.19 | 280 | 1.9812 | |
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| 1.9973 | 1.23 | 290 | 2.0105 | |
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| 1.001 | 1.27 | 300 | 1.8029 | |
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| 1.5717 | 1.31 | 310 | 1.8190 | |
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| 1.7842 | 1.36 | 320 | 2.0034 | |
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| 0.841 | 1.4 | 330 | 2.0345 | |
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| 0.9212 | 1.44 | 340 | 1.9301 | |
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| 1.6442 | 1.48 | 350 | 2.0139 | |
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| 2.0697 | 1.53 | 360 | 2.1341 | |
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| 1.0772 | 1.57 | 370 | 2.0179 | |
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| 1.4152 | 1.61 | 380 | 1.8754 | |
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| 0.912 | 1.65 | 390 | 1.9178 | |
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| 1.7032 | 1.69 | 400 | 1.9235 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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