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End of training

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  1. README.md +15 -10
  2. config.json +1 -2
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9214
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- - F1: 0.6376
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  ## Model description
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@@ -44,17 +44,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6472 | 1.0 | 1367 | 0.6423 | 0.6081 |
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- | 0.5596 | 2.0 | 2734 | 0.6642 | 0.6433 |
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- | 0.4 | 3.0 | 4101 | 0.9445 | 0.6445 |
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- | 0.2558 | 4.0 | 5468 | 1.5174 | 0.6392 |
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- | 0.1355 | 5.0 | 6835 | 1.9214 | 0.6376 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2189
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+ - F1: 0.6287
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.6602 | 1.0 | 1367 | 0.6489 | 0.6277 |
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+ | 0.6232 | 2.0 | 2734 | 0.6546 | 0.6535 |
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+ | 0.5985 | 3.0 | 4101 | 0.7058 | 0.6510 |
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+ | 0.5515 | 4.0 | 5468 | 0.6955 | 0.6478 |
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+ | 0.505 | 5.0 | 6835 | 0.7862 | 0.6461 |
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+ | 0.4617 | 6.0 | 8202 | 0.8992 | 0.6470 |
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+ | 0.4538 | 7.0 | 9569 | 1.0468 | 0.6330 |
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+ | 0.3878 | 8.0 | 10936 | 1.0613 | 0.6311 |
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+ | 0.3665 | 9.0 | 12303 | 1.1309 | 0.6261 |
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+ | 0.3483 | 10.0 | 13670 | 1.2189 | 0.6287 |
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  ### Framework versions
config.json CHANGED
@@ -6,7 +6,7 @@
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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,
@@ -18,7 +18,6 @@
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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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  "torch_dtype": "float32",
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  "transformers_version": "4.46.3",
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  "vocab_size": 30522
 
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  ],
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  "attention_dropout": 0.1,
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  "dim": 768,
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+ "dropout": 0.5,
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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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  "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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  "torch_dtype": "float32",
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  "transformers_version": "4.46.3",
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  "vocab_size": 30522
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