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End of training

Browse files
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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- license: cc-by-4.0
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- base_model: deepset/deberta-v3-large-squad2
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # deberta-tweetqa-5ep
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- This model is a fine-tuned version of [deepset/deberta-v3-large-squad2](https://huggingface.co/deepset/deberta-v3-large-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1915
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  ## Model description
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@@ -44,16 +44,18 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 10
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.5817 | 1.0 | 1 | 2.5048 |
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- | 1.5733 | 2.0 | 2 | 2.5048 |
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- | 1.3207 | 3.0 | 3 | 2.1915 |
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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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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  - generated_from_trainer
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  model-index:
 
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  # deberta-tweetqa-5ep
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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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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0879
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.8792 | 1.0 | 1 | 3.2915 |
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+ | 2.7794 | 2.0 | 2 | 3.2915 |
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+ | 2.7593 | 3.0 | 3 | 3.2778 |
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+ | 2.8457 | 4.0 | 4 | 3.2051 |
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+ | 2.5938 | 5.0 | 5 | 3.0879 |
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  ### Framework versions
config.json CHANGED
@@ -8,13 +8,11 @@
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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- "language": "english",
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  "layer_norm_eps": 1e-07,
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  "legacy": true,
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  "max_position_embeddings": 512,
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  "max_relative_positions": -1,
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  "model_type": "deberta-v2",
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- "name": "DebertaV2",
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  "norm_rel_ebd": "layer_norm",
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  "num_attention_heads": 16,
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  "num_hidden_layers": 24,
@@ -30,10 +28,6 @@
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  "position_buckets": 256,
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  "relative_attention": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.52.2",
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  "type_vocab_size": 0,
 
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  "legacy": true,
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  "max_position_embeddings": 512,
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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": 16,
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  "torch_dtype": "float32",
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  "transformers_version": "4.52.2",
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