End of training
Browse files- README.md +5 -5
- config.json +6 -6
- model.safetensors +2 -2
- runs/Jun22_09-41-49_37299a5905a5/events.out.tfevents.1719049328.37299a5905a5.118.0 +3 -0
- training_args.bin +1 -1
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-
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tags:
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- trl
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- reward-trainer
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@@ -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-
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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:
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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:
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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:
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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
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{
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"_name_or_path": "microsoft/deberta-v3-
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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":
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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-
"intermediate_size":
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"label2id": {
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"LABEL_0": 0
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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":
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"num_hidden_layers":
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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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"pooler_hidden_size":
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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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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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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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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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model.safetensors
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runs/Jun22_09-41-49_37299a5905a5/events.out.tfevents.1719049328.37299a5905a5.118.0
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training_args.bin
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