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lora_fine_tuned_cb

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lora_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 [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.7255
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- - Accuracy: 0.5
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- - F1: 0.4690
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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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- | 0.7 | 3.5714 | 50 | 1.2589 | 0.4091 | 0.3098 |
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- | 0.2825 | 7.1429 | 100 | 2.2071 | 0.4091 | 0.3573 |
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- | 0.0229 | 10.7143 | 150 | 2.0270 | 0.6364 | 0.5916 |
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- | 0.0153 | 14.2857 | 200 | 2.2568 | 0.5455 | 0.5181 |
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- | 0.0017 | 17.8571 | 250 | 3.8454 | 0.4091 | 0.3573 |
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- | 0.0001 | 21.4286 | 300 | 3.8920 | 0.4091 | 0.3573 |
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- | 0.0 | 25.0 | 350 | 3.7418 | 0.5 | 0.4690 |
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- | 0.0 | 28.5714 | 400 | 3.7255 | 0.5 | 0.4690 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4348
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+ - Accuracy: 0.3182
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+ - F1: 0.1536
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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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+ | 0.9795 | 3.5714 | 50 | 2.4262 | 0.3182 | 0.1536 |
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+ | 1.0466 | 7.1429 | 100 | 1.5536 | 0.3182 | 0.1536 |
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+ | 0.7941 | 10.7143 | 150 | 1.7159 | 0.3182 | 0.1536 |
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+ | 0.7834 | 14.2857 | 200 | 1.7813 | 0.3182 | 0.1536 |
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+ | 0.8008 | 17.8571 | 250 | 1.6710 | 0.3182 | 0.1536 |
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+ | 0.767 | 21.4286 | 300 | 1.4292 | 0.3182 | 0.1536 |
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+ | 0.7215 | 25.0 | 350 | 1.4617 | 0.3182 | 0.1536 |
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+ | 0.7297 | 28.5714 | 400 | 1.4348 | 0.3182 | 0.1536 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -23,8 +23,8 @@
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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_dora": false,
 
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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_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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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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