mohitmandloi commited on
Commit
8af3d29
1 Parent(s): 424560e

Training in progress epoch 0

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Files changed (4) hide show
  1. README.md +6 -8
  2. config.json +16 -14
  3. tf_model.h5 +2 -2
  4. tokenizer_config.json +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
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  # mohitmandloi/my_awesome_qa_model
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.8261
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- - Validation Loss: 2.0873
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- - Epoch: 2
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  ## Model description
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@@ -43,9 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 3.5279 | 2.3812 | 0 |
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- | 2.0798 | 2.0873 | 1 |
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- | 1.8261 | 2.0873 | 2 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  # mohitmandloi/my_awesome_qa_model
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 3.0832
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+ - Validation Loss: 1.6806
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 3.0832 | 1.6806 | 0 |
 
 
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  ### Framework versions
config.json CHANGED
@@ -1,23 +1,25 @@
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  {
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- "_name_or_path": "distilbert-base-uncased",
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- "activation": "gelu",
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  "architectures": [
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- "DistilBertForQuestionAnswering"
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  ],
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- "attention_dropout": 0.1,
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- "dim": 768,
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- "dropout": 0.1,
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- "hidden_dim": 3072,
 
 
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  "initializer_range": 0.02,
 
 
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  "max_position_embeddings": 512,
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- "model_type": "distilbert",
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- "n_heads": 12,
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- "n_layers": 6,
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  "pad_token_id": 0,
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- "qa_dropout": 0.1,
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- "seq_classif_dropout": 0.2,
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- "sinusoidal_pos_embds": false,
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- "tie_weights_": true,
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  "transformers_version": "4.35.2",
 
 
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  "vocab_size": 30522
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  }
 
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  {
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+ "_name_or_path": "bert-base-uncased",
 
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  "architectures": [
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+ "BertForQuestionAnswering"
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  ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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  "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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  "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
 
 
 
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  "transformers_version": "4.35.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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  "vocab_size": 30522
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  }
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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tokenizer_config.json CHANGED
@@ -50,6 +50,6 @@
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  "sep_token": "[SEP]",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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- "tokenizer_class": "DistilBertTokenizer",
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  "unk_token": "[UNK]"
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  }
 
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  "sep_token": "[SEP]",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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  "unk_token": "[UNK]"
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  }