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 = 0.5814772625764211
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macro_f1 = 0.7436809577572236
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mcc = 0.5966666048090462
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weighted_f1 = 0.7324417656265867
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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
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{
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"_name_or_path": "FacebookAI/xlm-roberta-large",
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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 = 1.248837043469151
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macro_f1 = 0.754510368400943
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mcc = 0.6091355890255944
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weighted_f1 = 0.7467623636936299
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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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checkpoint-3515-epoch-5/tokenizer.json
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checkpoint-3515-epoch-5/tokenizer_config.json
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config.json
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|
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eval_results.txt
ADDED
@@ -0,0 +1,4 @@
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|
1 |
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eval_loss = 1.248837043469151
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macro_f1 = 0.754510368400943
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mcc = 0.6091355890255944
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weighted_f1 = 0.7467623636936299
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model.safetensors
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model_args.json
ADDED
@@ -0,0 +1 @@
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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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2 |
+
200,1.2740478515625,0.0,0.20908646800195407,0.28661959955285665,1.0856874982515972
|
3 |
+
400,1.12109375,0.45370527857806,0.5069396518671881,0.5327143438392085,0.7363095263640086
|
4 |
+
600,0.755615234375,0.559410053459283,0.7229230786961027,0.7182287251838261,0.6309637506802876
|
5 |
+
703,0.6925455927848816,0.5841254861560833,0.7417131419133031,0.7368815353141769,0.6001911779244741
|
6 |
+
800,0.9465847015380859,0.5749814241055029,0.7138768330246924,0.716505697954929,0.6297397255897522
|
7 |
+
1000,0.7311162948608398,0.5765328705516929,0.7214251289757603,0.7197448775744766,0.6152580499649047
|
8 |
+
1200,1.0870819091796875,0.5927925342739295,0.7385061306938554,0.7378861511708116,0.5998952746391296
|
9 |
+
1400,0.46545839309692383,0.5966666048090462,0.7436809577572236,0.7324417656265867,0.5814772625764211
|
10 |
+
1406,0.08297475427389145,0.5856962389317353,0.734241968440681,0.7206046007797268,0.6061947524547577
|
11 |
+
1600,0.9884705543518066,0.5923899360096098,0.7413628155233102,0.7362828234852306,0.7091383437315623
|
12 |
+
1800,0.2916221618652344,0.6109092522386388,0.7553873600177446,0.7490238492101229,0.6481002926826477
|
13 |
+
2000,0.14180994033813477,0.6052498069846522,0.7517248545505063,0.7488353437867608,0.6463229954242706
|
14 |
+
2109,1.0794576406478882,0.6073081908660072,0.7449988048184228,0.744446632106959,0.6494138618310292
|
15 |
+
2200,0.05569934844970703,0.5962711346331006,0.7387821003394642,0.7345038420699701,0.9018320540587107
|
16 |
+
2400,0.005150020122528076,0.6141352412030552,0.7556020427259549,0.7483705747798095,0.9655490010976792
|
17 |
+
2600,0.49518153071403503,0.5987241870436524,0.7478071465398726,0.7400133249895322,1.0073274970054626
|
18 |
+
2800,0.24290084838867188,0.6088688838403056,0.7521436261690712,0.7456648548013942,0.9630749734739462
|
19 |
+
2812,1.9715728759765625,0.6112395214732101,0.7532529004354768,0.7457280368021947,0.991997197518746
|
20 |
+
3000,0.1175423264503479,0.6092184473077218,0.7519714722363728,0.7468428996941642,1.1885264371832212
|
21 |
+
3200,0.0014830827713012695,0.6121447348298368,0.757150461791023,0.7502511022015914,1.202283516774575
|
22 |
+
3400,0.002510964870452881,0.6109976732339154,0.755641881917235,0.7481495655392887,1.2439544717470805
|
23 |
+
3515,0.01666259765625,0.6091355890255944,0.754510368400943,0.7467623636936299,1.248837043469151
|