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Kyle1668
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boss-sentiment-3000-bert-base-uncased

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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  1. README.md +9 -9
  2. config.json +2 -4
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - F1: 0.7008
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- - Acc: 0.8444
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- - Loss: 0.8205
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  ## Model description
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@@ -51,12 +51,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | F1 | Acc | Validation Loss |
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  |:-------------:|:-----:|:----:|:------:|:------:|:---------------:|
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- | No log | 1.0 | 188 | 0.6487 | 0.8642 | 0.5277 |
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- | No log | 2.0 | 376 | 0.6809 | 0.8350 | 0.4574 |
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- | 0.7345 | 3.0 | 564 | 0.7092 | 0.8636 | 0.3908 |
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- | 0.7345 | 4.0 | 752 | 0.6948 | 0.8422 | 0.5645 |
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- | 0.7345 | 5.0 | 940 | 0.6604 | 0.7962 | 0.9230 |
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- | 0.1948 | 6.0 | 1128 | 0.7008 | 0.8444 | 0.8205 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - F1: 0.6539
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+ - Acc: 0.8012
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+ - Loss: 1.0668
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  ## Model description
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  | Training Loss | Epoch | Step | F1 | Acc | Validation Loss |
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  |:-------------:|:-----:|:----:|:------:|:------:|:---------------:|
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+ | No log | 1.0 | 188 | 0.5948 | 0.8309 | 0.5611 |
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+ | No log | 2.0 | 376 | 0.6500 | 0.7876 | 0.5856 |
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+ | 0.6906 | 3.0 | 564 | 0.7083 | 0.8627 | 0.3858 |
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+ | 0.6906 | 4.0 | 752 | 0.6588 | 0.7697 | 0.8185 |
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+ | 0.6906 | 5.0 | 940 | 0.6687 | 0.8142 | 0.8388 |
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+ | 0.1956 | 6.0 | 1128 | 0.6539 | 0.8012 | 1.0668 |
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  ### Framework versions
config.json CHANGED
@@ -12,16 +12,14 @@
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  "id2label": {
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  "0": "LABEL_0",
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  "1": "LABEL_1",
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- "2": "LABEL_2",
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- "3": "LABEL_3"
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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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  "LABEL_1": 1,
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- "LABEL_2": 2,
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- "LABEL_3": 3
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "id2label": {
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  "0": "LABEL_0",
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  "1": "LABEL_1",
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+ "2": "LABEL_2"
 
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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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  "LABEL_1": 1,
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+ "LABEL_2": 2
 
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
model.safetensors CHANGED
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