End of training
Browse files- README.md +28 -28
- all_results.json +40 -0
- cf.png +0 -0
- cf.txt +7 -7
- class_report.txt +8 -8
- eval_results.json +35 -0
- train_results.json +8 -0
- trainer_state.json +1287 -0
README.md
CHANGED
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@@ -19,34 +19,34 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Prec: 0.
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- Recall: 0.
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- F1: 0.
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- B Acc: 0.
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- Micro F1: 0.
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- Prec Joy: 0.
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- Recall Joy: 0.
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- F1 Joy: 0.
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- Prec Anger: 0.
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- Recall Anger: 0.
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- F1 Anger: 0.
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- Prec Disgust: 0.
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- Recall Disgust: 0.
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- F1 Disgust: 0.
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- Prec Fear: 0.
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- Recall Fear: 0.
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- F1 Fear: 0.
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- Prec Neutral: 0.
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- Recall Neutral: 0.
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- F1 Neutral: 0.
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- Prec Sadness: 0.
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- Recall Sadness: 0.
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- F1 Sadness: 0.
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- Prec Surprise: 0.
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- Recall Surprise: 0.
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- F1 Surprise: 0.
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| 51 |
## Model description
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| 52 |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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| 21 |
It achieves the following results on the evaluation set:
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| 22 |
+
- Loss: 0.7106
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| 23 |
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- Accuracy: 0.7405
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| 24 |
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- Prec: 0.7387
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| 25 |
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- Recall: 0.7405
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| 26 |
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- F1: 0.7387
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| 27 |
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- B Acc: 0.5982
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| 28 |
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- Micro F1: 0.7405
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| 29 |
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- Prec Joy: 0.7558
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| 30 |
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- Recall Joy: 0.7617
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| 31 |
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- F1 Joy: 0.7587
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| 32 |
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- Prec Anger: 0.6294
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| 33 |
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- Recall Anger: 0.5631
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| 34 |
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- F1 Anger: 0.5944
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| 35 |
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- Prec Disgust: 0.4637
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| 36 |
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- Recall Disgust: 0.3854
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| 37 |
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- F1 Disgust: 0.4209
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| 38 |
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- Prec Fear: 0.4892
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| 39 |
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- Recall Fear: 0.5817
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| 40 |
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- F1 Fear: 0.5315
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| 41 |
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- Prec Neutral: 0.8292
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| 42 |
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- Recall Neutral: 0.8481
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| 43 |
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- F1 Neutral: 0.8385
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| 44 |
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- Prec Sadness: 0.6600
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| 45 |
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- Recall Sadness: 0.6140
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| 46 |
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- F1 Sadness: 0.6362
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| 47 |
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- Prec Surprise: 0.5320
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| 48 |
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- Recall Surprise: 0.4331
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| 49 |
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- F1 Surprise: 0.4775
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## Model description
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all_results.json
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@@ -0,0 +1,40 @@
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{
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"epoch": 24.99,
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"eval_accuracy": 0.7404651958269198,
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"eval_b_acc": 0.598152273776674,
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"eval_f1": 0.7387479859330638,
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"eval_f1_anger": 0.594402837997635,
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"eval_f1_disgust": 0.4209328782707622,
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"eval_f1_fear": 0.5314520870076425,
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"eval_f1_joy": 0.758746779689188,
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"eval_f1_neutral": 0.8385366079274779,
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"eval_f1_sadness": 0.6361726954492415,
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"eval_f1_surprise": 0.4774640911342249,
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"eval_loss": 0.7106355428695679,
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"eval_micro_f1": 0.7404651958269197,
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| 15 |
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"eval_prec": 0.7386648012356265,
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| 16 |
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"eval_prec_anger": 0.6293823038397329,
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| 17 |
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"eval_prec_disgust": 0.46365914786967416,
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"eval_prec_fear": 0.48917748917748916,
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"eval_prec_joy": 0.7557947019867549,
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| 20 |
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"eval_prec_neutral": 0.8292169776802049,
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| 21 |
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"eval_prec_sadness": 0.660048426150121,
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| 22 |
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"eval_prec_surprise": 0.5320088300220751,
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| 23 |
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"eval_recall": 0.7404651958269198,
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| 24 |
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"eval_recall_anger": 0.5631067961165048,
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| 25 |
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"eval_recall_disgust": 0.3854166666666667,
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| 26 |
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"eval_recall_fear": 0.5817245817245817,
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| 27 |
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"eval_recall_joy": 0.7617220090105122,
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| 28 |
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"eval_recall_neutral": 0.8480681074001309,
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| 29 |
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"eval_recall_sadness": 0.6139639639639639,
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| 30 |
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"eval_recall_surprise": 0.4330637915543576,
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| 31 |
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"eval_runtime": 54.1882,
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"eval_samples": 23388,
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| 33 |
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"eval_samples_per_second": 431.607,
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| 34 |
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"eval_steps_per_second": 13.49,
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| 35 |
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"train_loss": 0.6590935281284558,
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| 36 |
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"train_runtime": 28744.9325,
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| 37 |
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"train_samples": 209849,
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| 38 |
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"train_samples_per_second": 182.51,
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"train_steps_per_second": 1.425
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}
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cf.png
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cf.txt
CHANGED
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@@ -1,7 +1,7 @@
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5.
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1.
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2.
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1.
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3.
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3.
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5.631067961165048263e-01 6.049290515309932448e-02 4.032860343539955428e-02 8.439133681852128976e-02 1.359223300970873738e-01 7.542942494398804931e-02 4.032860343539955428e-02
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| 2 |
+
1.520833333333333204e-01 3.854166666666666852e-01 1.708333333333333370e-01 5.416666666666666852e-02 6.666666666666666574e-02 1.562500000000000000e-01 1.458333333333333356e-02
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| 3 |
+
2.380952380952380820e-02 1.351351351351351426e-02 5.817245817245817463e-01 1.003861003861003798e-01 1.306306306306306286e-01 1.196911196911196879e-01 3.024453024453024538e-02
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| 4 |
+
9.344234940764225075e-03 4.171533455698314859e-03 3.237109961621892351e-02 7.617220090105122354e-01 1.493408977139996652e-01 2.252628066077089902e-02 2.052394460203570831e-02
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| 5 |
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1.543642997474038714e-02 2.900177752830012182e-03 2.301431378052203047e-02 8.008232762653194614e-02 8.480681074001309439e-01 1.440733464309102742e-02 1.609130882215361463e-02
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| 6 |
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3.558558558558558294e-02 2.207207207207207214e-02 1.247747747747747771e-01 6.531531531531531432e-02 1.288288288288288175e-01 6.139639639639639102e-01 9.459459459459459985e-03
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| 7 |
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3.054806828391734216e-02 6.289308176100629269e-03 8.176100628930817182e-02 1.608265947888589398e-01 2.416891284815813057e-01 4.582210242587601151e-02 4.330637915543575911e-01
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class_report.txt
CHANGED
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@@ -1,13 +1,13 @@
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| 1 |
precision recall f1-score support
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| 2 |
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0anger 0.
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| 4 |
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1disgust 0.
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| 5 |
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2fear 0.
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| 6 |
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3joy 0.
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| 7 |
-
4neutral 0.
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| 8 |
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5sadness 0.
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| 9 |
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6surprise 0.
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| 10 |
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| 11 |
accuracy 0.74 23388
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| 12 |
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macro avg 0.
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weighted avg 0.74 0.74 0.74 23388
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| 1 |
precision recall f1-score support
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| 2 |
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| 3 |
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0anger 0.63 0.56 0.59 1339
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| 4 |
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1disgust 0.46 0.39 0.42 480
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| 5 |
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2fear 0.49 0.58 0.53 1554
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| 6 |
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3joy 0.76 0.76 0.76 5993
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| 7 |
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4neutral 0.83 0.85 0.84 10689
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| 8 |
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5sadness 0.66 0.61 0.64 2220
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| 9 |
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6surprise 0.53 0.43 0.48 1113
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| 10 |
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| 11 |
accuracy 0.74 23388
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| 12 |
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macro avg 0.62 0.60 0.61 23388
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weighted avg 0.74 0.74 0.74 23388
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eval_results.json
ADDED
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@@ -0,0 +1,35 @@
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{
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| 2 |
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"epoch": 24.99,
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| 3 |
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"eval_accuracy": 0.7404651958269198,
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| 4 |
+
"eval_b_acc": 0.598152273776674,
|
| 5 |
+
"eval_f1": 0.7387479859330638,
|
| 6 |
+
"eval_f1_anger": 0.594402837997635,
|
| 7 |
+
"eval_f1_disgust": 0.4209328782707622,
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| 8 |
+
"eval_f1_fear": 0.5314520870076425,
|
| 9 |
+
"eval_f1_joy": 0.758746779689188,
|
| 10 |
+
"eval_f1_neutral": 0.8385366079274779,
|
| 11 |
+
"eval_f1_sadness": 0.6361726954492415,
|
| 12 |
+
"eval_f1_surprise": 0.4774640911342249,
|
| 13 |
+
"eval_loss": 0.7106355428695679,
|
| 14 |
+
"eval_micro_f1": 0.7404651958269197,
|
| 15 |
+
"eval_prec": 0.7386648012356265,
|
| 16 |
+
"eval_prec_anger": 0.6293823038397329,
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| 17 |
+
"eval_prec_disgust": 0.46365914786967416,
|
| 18 |
+
"eval_prec_fear": 0.48917748917748916,
|
| 19 |
+
"eval_prec_joy": 0.7557947019867549,
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| 20 |
+
"eval_prec_neutral": 0.8292169776802049,
|
| 21 |
+
"eval_prec_sadness": 0.660048426150121,
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| 22 |
+
"eval_prec_surprise": 0.5320088300220751,
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| 23 |
+
"eval_recall": 0.7404651958269198,
|
| 24 |
+
"eval_recall_anger": 0.5631067961165048,
|
| 25 |
+
"eval_recall_disgust": 0.3854166666666667,
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| 26 |
+
"eval_recall_fear": 0.5817245817245817,
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| 27 |
+
"eval_recall_joy": 0.7617220090105122,
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| 28 |
+
"eval_recall_neutral": 0.8480681074001309,
|
| 29 |
+
"eval_recall_sadness": 0.6139639639639639,
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| 30 |
+
"eval_recall_surprise": 0.4330637915543576,
|
| 31 |
+
"eval_runtime": 54.1882,
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| 32 |
+
"eval_samples": 23388,
|
| 33 |
+
"eval_samples_per_second": 431.607,
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| 34 |
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"eval_steps_per_second": 13.49
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| 35 |
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}
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train_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 24.99,
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"train_loss": 0.6590935281284558,
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| 4 |
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"train_runtime": 28744.9325,
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| 5 |
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"train_samples": 209849,
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| 6 |
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"train_samples_per_second": 182.51,
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| 7 |
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"train_steps_per_second": 1.425
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| 8 |
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}
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trainer_state.json
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