notmaineyy commited on
Commit
e6b40ef
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1 Parent(s): 2c9ff70

Training in progress epoch 0

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README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0239
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- - Validation Loss: 0.0559
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- - Train Precision: 0.9467
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- - Train Recall: 0.9486
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- - Train F1: 0.9476
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- - Train Accuracy: 0.9864
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- - Epoch: 2
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  ## Model description
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@@ -46,14 +46,12 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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- | 0.1277 | 0.0691 | 0.9077 | 0.9281 | 0.9178 | 0.9808 | 0 |
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- | 0.0473 | 0.0585 | 0.9343 | 0.9360 | 0.9351 | 0.9847 | 1 |
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- | 0.0239 | 0.0559 | 0.9467 | 0.9486 | 0.9476 | 0.9864 | 2 |
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  ### Framework versions
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- - Transformers 4.20.1
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  - TensorFlow 2.8.2
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- - Datasets 2.3.2
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  - Tokenizers 0.12.1
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1335
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+ - Validation Loss: 0.0705
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+ - Train Precision: 0.9152
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+ - Train Recall: 0.9204
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+ - Train F1: 0.9178
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+ - Train Accuracy: 0.9806
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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+ | 0.1335 | 0.0705 | 0.9152 | 0.9204 | 0.9178 | 0.9806 | 0 |
 
 
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  ### Framework versions
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+ - Transformers 4.21.0
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  - TensorFlow 2.8.2
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+ - Datasets 2.4.0
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  - Tokenizers 0.12.1
config.json CHANGED
@@ -45,7 +45,7 @@
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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- "transformers_version": "4.20.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 119547
 
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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+ "transformers_version": "4.21.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 119547
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