djamina commited on
Commit
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1 Parent(s): 847f35a

Training complete

Browse files
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [camembert/camembert-large](https://huggingface.co/camembert/camembert-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6317
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- - Precision: 0.7005
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- - Recall: 0.2671
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- - F1: 0.2695
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- - Accuracy: 0.7798
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  ## Model description
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@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 49 | 0.7987 | 0.9511 | 0.2 | 0.1722 | 0.7557 |
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- | No log | 2.0 | 98 | 0.7748 | 0.8306 | 0.2107 | 0.1935 | 0.7590 |
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- | No log | 3.0 | 147 | 0.6992 | 0.8346 | 0.2178 | 0.2051 | 0.7617 |
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- | No log | 4.0 | 196 | 0.6507 | 0.6659 | 0.2580 | 0.2513 | 0.7742 |
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- | No log | 5.0 | 245 | 0.6317 | 0.7005 | 0.2671 | 0.2695 | 0.7798 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [camembert/camembert-large](https://huggingface.co/camembert/camembert-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7099
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+ - Precision: 0.6914
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+ - Recall: 0.2252
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+ - F1: 0.2193
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+ - Accuracy: 0.7578
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 49 | 0.8241 | 0.9512 | 0.2 | 0.1722 | 0.7560 |
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+ | No log | 2.0 | 98 | 0.8026 | 0.8243 | 0.2100 | 0.1933 | 0.7555 |
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+ | No log | 3.0 | 147 | 0.7535 | 0.8077 | 0.2045 | 0.1823 | 0.7563 |
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+ | No log | 4.0 | 196 | 0.7228 | 0.8227 | 0.2220 | 0.2109 | 0.7586 |
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+ | No log | 5.0 | 245 | 0.7099 | 0.6914 | 0.2252 | 0.2193 | 0.7578 |
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  ### Framework versions
config.json CHANGED
@@ -22,13 +22,13 @@
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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- "B-DET": 1,
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  "B-APPO": 3,
 
 
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  },
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  "transformers_version": "4.41.2",
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  "initializer_range": 0.02,
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  "B-APPO": 3,
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  "transformers_version": "4.41.2",
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  "type_vocab_size": 1,
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