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ninagroot/babyllamatest

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  1. README.md +44 -24
  2. config.json +1 -1
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.4868
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  ## Model description
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@@ -33,39 +33,59 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.00025
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- - train_batch_size: 4
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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_steps: 200
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- - num_epochs: 20
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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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- | 16.2182 | 1.0 | 393 | 13.7445 |
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- | 6.1598 | 2.0 | 786 | 6.7784 |
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- | 5.094 | 3.0 | 1179 | 5.4728 |
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- | 4.2823 | 4.0 | 1572 | 4.9842 |
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- | 3.7105 | 5.0 | 1965 | 4.6118 |
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- | 3.3325 | 6.0 | 2358 | 4.4379 |
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- | 3.1282 | 7.0 | 2751 | 4.2705 |
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- | 2.9706 | 8.0 | 3144 | 4.0921 |
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- | 2.8795 | 9.0 | 3537 | 3.9575 |
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- | 2.5869 | 10.0 | 3930 | 3.8738 |
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- | 2.6449 | 11.0 | 4323 | 3.8033 |
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- | 2.4537 | 12.0 | 4716 | 3.7222 |
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- | 2.4489 | 13.0 | 5109 | 3.6770 |
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- | 2.237 | 14.0 | 5502 | 3.6201 |
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- | 2.2934 | 15.0 | 5895 | 3.5597 |
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- | 2.2597 | 16.0 | 6288 | 3.5336 |
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- | 2.2667 | 17.0 | 6681 | 3.5108 |
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- | 2.2947 | 18.0 | 7074 | 3.4935 |
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- | 2.1618 | 19.0 | 7467 | 3.4894 |
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- | 2.2033 | 20.0 | 7860 | 3.4868 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.5855
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.00025
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+ - train_batch_size: 32
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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_steps: 50
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+ - num_epochs: 40
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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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+ | No log | 1.0 | 7 | 71.5542 |
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+ | No log | 2.0 | 14 | 62.5591 |
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+ | 75.1015 | 3.0 | 21 | 52.1433 |
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+ | 75.1015 | 4.0 | 28 | 41.8504 |
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+ | 75.1015 | 5.0 | 35 | 35.2569 |
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+ | 47.6078 | 6.0 | 42 | 29.3735 |
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+ | 47.6078 | 7.0 | 49 | 25.0324 |
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+ | 47.6078 | 8.0 | 56 | 21.8563 |
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+ | 29.8451 | 9.0 | 63 | 18.5148 |
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+ | 29.8451 | 10.0 | 70 | 15.5228 |
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+ | 29.8451 | 11.0 | 77 | 13.0948 |
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+ | 17.3358 | 12.0 | 84 | 11.0128 |
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+ | 17.3358 | 13.0 | 91 | 9.2921 |
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+ | 17.3358 | 14.0 | 98 | 8.5328 |
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+ | 9.565 | 15.0 | 105 | 7.7662 |
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+ | 9.565 | 16.0 | 112 | 7.5869 |
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+ | 9.565 | 17.0 | 119 | 7.0970 |
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+ | 6.5384 | 18.0 | 126 | 6.8532 |
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+ | 6.5384 | 19.0 | 133 | 6.5811 |
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+ | 5.5048 | 20.0 | 140 | 6.4781 |
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+ | 5.5048 | 21.0 | 147 | 6.3671 |
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+ | 5.5048 | 22.0 | 154 | 6.3537 |
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+ | 5.0318 | 23.0 | 161 | 6.1682 |
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+ | 5.0318 | 24.0 | 168 | 5.9982 |
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+ | 5.0318 | 25.0 | 175 | 5.9669 |
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+ | 4.71 | 26.0 | 182 | 5.8959 |
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+ | 4.71 | 27.0 | 189 | 5.8910 |
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+ | 4.71 | 28.0 | 196 | 5.8447 |
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+ | 4.5081 | 29.0 | 203 | 5.7656 |
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+ | 4.5081 | 30.0 | 210 | 5.7277 |
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+ | 4.5081 | 31.0 | 217 | 5.7041 |
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+ | 4.3384 | 32.0 | 224 | 5.6611 |
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+ | 4.3384 | 33.0 | 231 | 5.6682 |
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+ | 4.3384 | 34.0 | 238 | 5.6317 |
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+ | 4.2903 | 35.0 | 245 | 5.6118 |
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+ | 4.2903 | 36.0 | 252 | 5.5995 |
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+ | 4.2903 | 37.0 | 259 | 5.6007 |
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+ | 4.2404 | 38.0 | 266 | 5.5819 |
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+ | 4.2404 | 39.0 | 273 | 5.5834 |
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+ | 4.1963 | 40.0 | 280 | 5.5855 |
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  ### Framework versions
config.json CHANGED
@@ -24,5 +24,5 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.39.1",
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  "use_cache": true,
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- "vocab_size": 32000
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  }
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.39.1",
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  "use_cache": true,
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+ "vocab_size": 12198
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  }
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