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falcon-7b_spider

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  1. README.md +30 -17
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the spider dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1858
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  ## Model description
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@@ -37,31 +37,44 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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: linear
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- - lr_scheduler_warmup_steps: 43.7
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  - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.3145 | 0.23 | 100 | 0.2930 |
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- | 0.7216 | 0.46 | 200 | 0.2351 |
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- | 0.1483 | 0.68 | 300 | 0.2174 |
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- | 0.1186 | 0.91 | 400 | 0.2108 |
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- | 0.1887 | 1.14 | 500 | 0.2134 |
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- | 0.2358 | 1.37 | 600 | 0.2017 |
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- | 0.1678 | 1.6 | 700 | 0.1901 |
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- | 0.1771 | 1.83 | 800 | 0.1989 |
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- | 0.0394 | 2.05 | 900 | 0.1869 |
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- | 0.0916 | 2.28 | 1000 | 0.1845 |
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- | 0.1701 | 2.51 | 1100 | 0.1868 |
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- | 0.2159 | 2.74 | 1200 | 0.1899 |
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- | 0.1933 | 2.97 | 1300 | 0.1969 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the spider dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1837
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 8
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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: linear
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+ - lr_scheduler_warmup_steps: 87.5
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  - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5561 | 0.11 | 100 | 0.3692 |
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+ | 0.0 | 0.23 | 200 | 0.2534 |
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+ | 0.0628 | 0.34 | 300 | 0.2348 |
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+ | 0.6081 | 0.46 | 400 | 0.2310 |
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+ | 0.0024 | 0.57 | 500 | 0.2218 |
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+ | 0.0136 | 0.69 | 600 | 0.2256 |
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+ | 0.1526 | 0.8 | 700 | 0.2140 |
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+ | 0.1417 | 0.91 | 800 | 0.2158 |
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+ | 0.2736 | 1.03 | 900 | 0.1880 |
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+ | 0.2429 | 1.14 | 1000 | 0.1947 |
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+ | 0.1635 | 1.26 | 1100 | 0.1861 |
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+ | 0.2204 | 1.37 | 1200 | 0.1755 |
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+ | 0.1207 | 1.49 | 1300 | 0.1952 |
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+ | 0.1663 | 1.6 | 1400 | 0.1821 |
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+ | 0.2023 | 1.71 | 1500 | 0.1901 |
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+ | 0.0429 | 1.83 | 1600 | 0.1892 |
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+ | 0.1651 | 1.94 | 1700 | 0.1847 |
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+ | 0.0447 | 2.06 | 1800 | 0.1781 |
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+ | 0.0184 | 2.17 | 1900 | 0.1808 |
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+ | 0.0392 | 2.29 | 2000 | 0.2112 |
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+ | 0.1474 | 2.4 | 2100 | 0.1800 |
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+ | 0.1859 | 2.51 | 2200 | 0.1754 |
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+ | 0.3717 | 2.63 | 2300 | 0.1736 |
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+ | 0.2106 | 2.74 | 2400 | 0.1767 |
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+ | 0.0798 | 2.86 | 2500 | 0.1700 |
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+ | 0.2165 | 2.97 | 2600 | 0.1868 |
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  ### Framework versions
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