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loha_fine_tuned_cb

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loha_fine_tuned_cb

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Files changed (5) hide show
  1. README.md +11 -11
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. tokenizer.json +1 -6
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.6524
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- - Accuracy: 0.3636
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- - F1: 0.2923
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  ## Model description
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@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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- | 0.7795 | 3.5714 | 50 | 2.0073 | 0.3182 | 0.1536 |
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- | 0.7479 | 7.1429 | 100 | 1.3794 | 0.3182 | 0.1536 |
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- | 0.3979 | 10.7143 | 150 | 3.8538 | 0.3182 | 0.1536 |
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- | 0.1064 | 14.2857 | 200 | 3.6640 | 0.3182 | 0.2636 |
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- | 0.0423 | 17.8571 | 250 | 1.8668 | 0.4091 | 0.4067 |
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- | 0.0025 | 21.4286 | 300 | 3.6246 | 0.4091 | 0.3208 |
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- | 0.002 | 25.0 | 350 | 3.9578 | 0.4091 | 0.3208 |
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- | 0.0023 | 28.5714 | 400 | 3.6524 | 0.3636 | 0.2923 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.8911
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+ - Accuracy: 0.3182
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+ - F1: 0.2555
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.8122 | 3.5714 | 50 | 1.9445 | 0.3182 | 0.1536 |
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+ | 0.6951 | 7.1429 | 100 | 2.3078 | 0.3182 | 0.1536 |
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+ | 0.4233 | 10.7143 | 150 | 1.7892 | 0.4545 | 0.4260 |
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+ | 0.2006 | 14.2857 | 200 | 5.9008 | 0.3182 | 0.1591 |
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+ | 0.0846 | 17.8571 | 250 | 5.5773 | 0.2727 | 0.1469 |
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+ | 0.05 | 21.4286 | 300 | 5.9074 | 0.2727 | 0.1667 |
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+ | 0.0167 | 25.0 | 350 | 5.0730 | 0.3182 | 0.2552 |
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+ | 0.0069 | 28.5714 | 400 | 5.8911 | 0.3182 | 0.2555 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -18,8 +18,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "query",
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- "value"
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  ],
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  "task_type": "SEQ_CLS",
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  "use_effective_conv2d": false
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "value",
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+ "query"
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  ],
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  "task_type": "SEQ_CLS",
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  "use_effective_conv2d": false
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 4741180
 
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tokenizer.json CHANGED
@@ -1,11 +1,6 @@
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  {
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  "version": "1.0",
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- "truncation": {
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- "direction": "Right",
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- "max_length": 512,
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- "strategy": "LongestFirst",
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- "stride": 0
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- },
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  "padding": null,
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  "added_tokens": [
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  {
 
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  {
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  "version": "1.0",
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+ "truncation": null,
 
 
 
 
 
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  "padding": null,
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  "added_tokens": [
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  {
training_args.bin CHANGED
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