End of training

README.md

@@ -3,11 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-cased
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: trainer_4f
   results: []
@@ -19,12 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # trainer_4f
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.8577
-- Precision: 0.8485
-- Recall: 0.8430
-- F1: 0.8432
-- Accuracy: 0.8430
 
 ## Model description
 
@@ -51,29 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.652         | 0.28  | 100  | 1.1388          | 0.6937    | 0.6437 | 0.6307 | 0.6437   |
-| 0.859         | 0.56  | 200  | 0.7035          | 0.8068    | 0.7919 | 0.7899 | 0.7919   |
-| 0.6338        | 0.84  | 300  | 0.6473          | 0.8388    | 0.8113 | 0.8127 | 0.8113   |
-| 0.4787        | 1.12  | 400  | 0.6436          | 0.8229    | 0.8131 | 0.8129 | 0.8131   |
-| 0.4248        | 1.4   | 500  | 0.6372          | 0.8328    | 0.8289 | 0.8286 | 0.8289   |
-| 0.4081        | 1.69  | 600  | 0.5920          | 0.8599    | 0.8554 | 0.8554 | 0.8554   |
-| 0.2712        | 1.97  | 700  | 0.6843          | 0.8466    | 0.8413 | 0.8421 | 0.8413   |
-| 0.1995        | 2.25  | 800  | 0.6760          | 0.8552    | 0.8448 | 0.8461 | 0.8448   |
-| 0.2102        | 2.53  | 900  | 0.7538          | 0.8424    | 0.8377 | 0.8387 | 0.8377   |
-| 0.204         | 2.81  | 1000 | 0.7491          | 0.8374    | 0.8325 | 0.8327 | 0.8325   |
-| 0.1359        | 3.09  | 1100 | 0.7597          | 0.8537    | 0.8483 | 0.8480 | 0.8483   |
-| 0.0688        | 3.37  | 1200 | 0.8339          | 0.8405    | 0.8342 | 0.8338 | 0.8342   |
-| 0.0878        | 3.65  | 1300 | 0.8136          | 0.8545    | 0.8466 | 0.8465 | 0.8466   |
-| 0.0795        | 3.93  | 1400 | 0.8346          | 0.8435    | 0.8395 | 0.8397 | 0.8395   |
-| 0.0256        | 4.21  | 1500 | 0.8602          | 0.8417    | 0.8360 | 0.8362 | 0.8360   |
-| 0.0589        | 4.49  | 1600 | 0.8559          | 0.8507    | 0.8448 | 0.8449 | 0.8448   |
-| 0.0201        | 4.78  | 1700 | 0.8603          | 0.8500    | 0.8448 | 0.8449 | 0.8448   |
-
-
 ### Framework versions
 
 - Transformers 4.39.3

config.json

@@ -33,7 +33,6 @@
   "n_layers": 6,
   "output_past": true,
   "pad_token_id": 0,
-  "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,

model.safetensors

@@ -1,3 +1,3 @@
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 size 263160068

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:3a900259327cc5dd79da49217f6adfab2581e772550df845bc390a3e0d764e5e
 size 4920