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iam-tsr
/
feedback-classifier

Text Classification
PEFT
Joblib
ONNX
Safetensors
Transformers
English
distilbert
lora
text-embeddings-inference
Model card Files
xet
Community
iam-tsr commited on
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finetuned-distilbert-employ-feedback

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Files changed (3) hide show
  1. README.md +8 -8
  2. adapter_config.json +4 -5
  3. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -23,11 +23,11 @@ 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: 0.1536
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- - Accuracy: 0.9415
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- - Precision: 0.9185
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- - Recall: 0.9233
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- - F1: 0.9209
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  ## Model description
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@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.176 | 1.0 | 172 | 0.1679 | 0.9431 | 0.9184 | 0.9298 | 0.9236 |
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- | 0.1831 | 2.0 | 344 | 0.1629 | 0.9338 | 0.9053 | 0.9235 | 0.9131 |
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- | 0.164 | 3.0 | 516 | 0.1536 | 0.9415 | 0.9185 | 0.9233 | 0.9209 |
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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: 0.1520
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+ - Accuracy: 0.9423
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+ - Precision: 0.9181
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+ - Recall: 0.9284
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+ - F1: 0.9228
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.1735 | 1.0 | 172 | 0.1631 | 0.9462 | 0.9249 | 0.9297 | 0.9272 |
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+ | 0.1824 | 2.0 | 344 | 0.1619 | 0.9385 | 0.9108 | 0.9308 | 0.9191 |
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+ | 0.1555 | 3.0 | 516 | 0.1520 | 0.9423 | 0.9181 | 0.9284 | 0.9228 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -22,7 +22,6 @@
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  "megatron_config": null,
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  "megatron_core": "megatron.core",
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  "modules_to_save": [
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- "pre_classifier",
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  "classifier",
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  "classifier",
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  "score"
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "lin1",
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  "v_lin",
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- "lin2",
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  "out_lin",
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- "k_lin",
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- "q_lin"
 
 
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  ],
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  "target_parameters": null,
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  "task_type": "SEQ_CLS",
 
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  "megatron_config": null,
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  "megatron_core": "megatron.core",
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  "modules_to_save": [
 
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  "classifier",
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  "classifier",
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  "score"
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
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  "v_lin",
 
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  "out_lin",
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+ "lin2",
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+ "q_lin",
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+ "lin1",
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+ "k_lin"
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  ],
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  "target_parameters": null,
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  "task_type": "SEQ_CLS",
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 3045716
 
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