Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- best_model/config.json +39 -0
- best_model/eval_results.txt +4 -0
- best_model/model.safetensors +3 -0
- best_model/model_args.json +1 -0
- best_model/optimizer.pt +3 -0
- best_model/scheduler.pt +3 -0
- best_model/special_tokens_map.json +15 -0
- best_model/tokenizer.json +3 -0
- best_model/tokenizer_config.json +54 -0
- best_model/training_args.bin +3 -0
- checkpoint-3515-epoch-5/config.json +39 -0
- checkpoint-3515-epoch-5/eval_results.txt +4 -0
- checkpoint-3515-epoch-5/model.safetensors +3 -0
- checkpoint-3515-epoch-5/model_args.json +1 -0
- checkpoint-3515-epoch-5/optimizer.pt +3 -0
- checkpoint-3515-epoch-5/scheduler.pt +3 -0
- checkpoint-3515-epoch-5/special_tokens_map.json +15 -0
- checkpoint-3515-epoch-5/tokenizer.json +3 -0
- checkpoint-3515-epoch-5/tokenizer_config.json +54 -0
- checkpoint-3515-epoch-5/training_args.bin +3 -0
- config.json +39 -0
- eval_results.txt +4 -0
- model.safetensors +3 -0
- model_args.json +1 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
- training_progress_scores.csv +23 -0
.gitattributes
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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best_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-3515-epoch-5/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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best_model/config.json
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{
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best_model/eval_results.txt
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eval_loss = 0.606586695710818
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macro_f1 = 0.7405165582398466
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mcc = 0.5894639725182662
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weighted_f1 = 0.7364990262052206
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best_model/model.safetensors
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best_model/model_args.json
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best_model/optimizer.pt
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best_model/scheduler.pt
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best_model/special_tokens_map.json
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best_model/tokenizer.json
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best_model/tokenizer_config.json
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best_model/training_args.bin
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checkpoint-3515-epoch-5/config.json
ADDED
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{
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"_name_or_path": "FacebookAI/xlm-roberta-base",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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checkpoint-3515-epoch-5/eval_results.txt
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eval_loss = 0.7278924028078715
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macro_f1 = 0.7400787915842186
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mcc = 0.5912269376971394
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weighted_f1 = 0.7367751958634877
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checkpoint-3515-epoch-5/model.safetensors
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checkpoint-3515-epoch-5/model_args.json
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config.json
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|
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eval_results.txt
ADDED
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eval_loss = 0.7278924028078715
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macro_f1 = 0.7400787915842186
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weighted_f1 = 0.7367751958634877
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model.safetensors
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model_args.json
ADDED
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
ADDED
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|
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|
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training_args.bin
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training_progress_scores.csv
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global_step,train_loss,mcc,macro_f1,weighted_f1,eval_loss
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2 |
+
200,1.0584716796875,0.0,0.20908646800195407,0.28661959955285665,1.069009749094645
|
3 |
+
400,1.0379638671875,0.038866161381021315,0.3223890783957439,0.3476455041299756,1.0258268157641093
|
4 |
+
600,0.8944091796875,0.3356030610692675,0.439675160697888,0.4675828774643883,0.8856121460596721
|
5 |
+
703,0.3840433657169342,0.49428516688588425,0.641708887041141,0.6495082309325583,0.6889036893844604
|
6 |
+
800,0.6374053955078125,0.502147404626319,0.6707866931683287,0.6761805991121258,0.6971945722897848
|
7 |
+
1000,0.5996513366699219,0.5428150645348128,0.7094972661714106,0.7042153646323749,0.6499818702538808
|
8 |
+
1200,0.8780517578125,0.5602156214716048,0.7149353043214935,0.7121824284702569,0.6589588900407155
|
9 |
+
1400,0.34406280517578125,0.5640401758185832,0.7115528143289943,0.7129789124597237,0.661833530664444
|
10 |
+
1406,0.2644449770450592,0.5485446488785957,0.7157280593904511,0.7104053987882442,0.6388011852900187
|
11 |
+
1600,0.7111034393310547,0.5696680340827229,0.7272049744029179,0.7231938468481846,0.6082332015037537
|
12 |
+
1800,0.23871231079101562,0.556351734593933,0.7238844374959287,0.7177309116148322,0.6424811045328777
|
13 |
+
2000,1.1884880065917969,0.5833935086320591,0.7332649740672558,0.7271136074905272,0.6190011511246364
|
14 |
+
2109,0.4173177182674408,0.5894639725182662,0.7405165582398466,0.7364990262052206,0.606586695710818
|
15 |
+
2200,0.22592449188232422,0.5748442102903613,0.7322659184902612,0.7245903599336564,0.6776909222205479
|
16 |
+
2400,0.1421346664428711,0.5878199027102489,0.7374282188704813,0.7337496860780385,0.6582034925619761
|
17 |
+
2600,0.4403419494628906,0.5458391740965017,0.7170169259321959,0.7082466563753468,0.7215832670529684
|
18 |
+
2800,0.5751276016235352,0.5928953840693267,0.7327897628806469,0.7336711688855792,0.6887663503487905
|
19 |
+
2812,0.5836639404296875,0.6010482547417683,0.7426616123390241,0.7419812874967691,0.680252335468928
|
20 |
+
3000,0.345611572265625,0.5834407518046234,0.7351605377254614,0.729081367361939,0.7225894739230474
|
21 |
+
3200,0.10987091064453125,0.5806198418744865,0.7331919994603333,0.7289611466503186,0.7378402839104334
|
22 |
+
3400,0.5619616508483887,0.5880803641291443,0.7385743568730602,0.7349326575618604,0.7191217278440794
|
23 |
+
3515,0.052824657410383224,0.5912269376971394,0.7400787915842186,0.7367751958634877,0.7278924028078715
|