Mr-Wick commited on
Commit
547146b
1 Parent(s): 10b5e90

Training in progress epoch 0

Browse files
README.md CHANGED
@@ -3,18 +3,26 @@ license: apache-2.0
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: Albert
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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- # Albert
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- This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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-
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -38,6 +46,9 @@ The following hyperparameters were used during training:
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  ### Training results
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: Mr-Wick/Albert
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # Mr-Wick/Albert
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+ This model is a fine-tuned version of [Mr-Wick/Albert](https://huggingface.co/Mr-Wick/Albert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6581
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+ - Train End Logits Accuracy: 0.3488
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+ - Train Loss Accuracy: 0.0671
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+ - Train Start Logits Accuracy: 0.3529
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+ - Validation Loss: 0.9366
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+ - Validation End Logits Accuracy: 0.4415
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+ - Validation Loss Accuracy: 0.0657
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+ - Validation Start Logits Accuracy: 0.4486
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+ - Epoch: 0
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  ## Model description
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  ### Training results
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+ | Train Loss | Train End Logits Accuracy | Train Loss Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Loss Accuracy | Validation Start Logits Accuracy | Epoch |
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+ |:----------:|:-------------------------:|:-------------------:|:---------------------------:|:---------------:|:------------------------------:|:------------------------:|:--------------------------------:|:-----:|
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+ | 0.6581 | 0.3488 | 0.0671 | 0.3529 | 0.9366 | 0.4415 | 0.0657 | 0.4486 | 0 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  "architectures": [
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  "AlbertForQuestionAnswering"
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tokenizer_config.json CHANGED
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- {"do_lower_case": true, "remove_space": true, "keep_accents": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "albert-base-v2", "tokenizer_class": "AlbertTokenizer"}
 
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