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Training complete

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  1. README.md +13 -13
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1153
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- - Accuracy: 0.6170
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  ## Model description
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@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 23 | 1.7613 | 0.3404 |
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- | No log | 2.0 | 46 | 1.5790 | 0.5106 |
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- | No log | 3.0 | 69 | 1.4058 | 0.5532 |
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- | No log | 4.0 | 92 | 1.2620 | 0.5957 |
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- | No log | 5.0 | 115 | 1.1457 | 0.6383 |
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- | No log | 6.0 | 138 | 1.1075 | 0.6170 |
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- | No log | 7.0 | 161 | 1.1307 | 0.6809 |
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- | No log | 8.0 | 184 | 1.1302 | 0.6170 |
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- | No log | 9.0 | 207 | 1.1499 | 0.6383 |
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- | No log | 10.0 | 230 | 1.1153 | 0.6170 |
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  ### Framework versions
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- - Transformers 4.47.0
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0767
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+ - Accuracy: 0.6809
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 23 | 1.7712 | 0.3404 |
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+ | No log | 2.0 | 46 | 1.6196 | 0.4255 |
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+ | No log | 3.0 | 69 | 1.3435 | 0.6170 |
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+ | No log | 4.0 | 92 | 1.1709 | 0.6596 |
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+ | No log | 5.0 | 115 | 1.1059 | 0.6170 |
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+ | No log | 6.0 | 138 | 1.0863 | 0.6809 |
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+ | No log | 7.0 | 161 | 1.1387 | 0.7021 |
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+ | No log | 8.0 | 184 | 1.0747 | 0.6809 |
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+ | No log | 9.0 | 207 | 1.0624 | 0.6809 |
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+ | No log | 10.0 | 230 | 1.0767 | 0.6809 |
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  ### Framework versions
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+ - Transformers 4.47.1
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -44,7 +44,7 @@
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  "summary_type": "first",
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  "summary_use_proj": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.47.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 31002
 
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  "summary_type": "first",
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  "summary_use_proj": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.47.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 31002
model.safetensors CHANGED
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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