SiMajid commited on
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6780413
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1 Parent(s): efe0b25

End of training

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: microsoft/deberta-v3-large
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  tags:
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  - trl
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  - reward-trainer
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # deberta_value
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- This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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  ## Model description
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@@ -35,14 +35,14 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1.41e-05
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- - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1.0
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  ### Training results
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  ---
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  license: mit
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+ base_model: microsoft/deberta-v3-base
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  tags:
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  - trl
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  - reward-trainer
 
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  # deberta_value
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1.41e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 7.0
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  ### Training results
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config.json CHANGED
@@ -1,17 +1,17 @@
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  {
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- "_name_or_path": "microsoft/deberta-v3-large",
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  "architectures": [
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  "DebertaV2ForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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  "hidden_act": "gelu",
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- "hidden_size": 1024,
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  "id2label": {
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  "0": "LABEL_0"
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  "initializer_range": 0.02,
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  "label2id": {
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  "LABEL_0": 0
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  },
@@ -20,12 +20,12 @@
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  "max_relative_positions": -1,
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  "model_type": "deberta-v2",
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  "norm_rel_ebd": "layer_norm",
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- "pooler_hidden_size": 1024,
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  "pos_att_type": [
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  "p2c",
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  "c2p"
 
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  {
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+ "_name_or_path": "microsoft/deberta-v3-base",
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  "architectures": [
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  "DebertaV2ForSequenceClassification"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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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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  "id2label": {
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  "0": "LABEL_0"
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  "initializer_range": 0.02,
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  "label2id": {
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  },
 
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  "max_relative_positions": -1,
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  "model_type": "deberta-v2",
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  "norm_rel_ebd": "layer_norm",
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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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  "pooler_dropout": 0,
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  "pooler_hidden_act": "gelu",
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  "p2c",
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