End of training

README.md

@@ -6,14 +6,14 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: xtremedistil-l6-h384-uncased-v1.1
+- name: xtremedistil-l6-h384-uncased-v2.0
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# xtremedistil-l6-h384-uncased-v1.1
+# xtremedistil-l6-h384-uncased-v2.0
 
 This model is a fine-tuned version of [microsoft/xtremedistil-l6-h384-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h384-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
@@ -57,39 +57,26 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-|Datasets|asadfgglie/nli-zh-tw-all/test|asadfgglie/BanBan_2024-10-17-facial_expressions-nli/test|eval_dataset|test_dataset|
-| :---: | :---: | :---: | :---: | :---: |
-|eval_loss|0.511|0.701|0.539|0.528|
-|eval_f1_macro|0.717|0.488|0.684|0.7|
-|eval_f1_micro|0.718|0.506|0.684|0.7|
-|eval_accuracy_balanced|0.719|0.501|0.687|0.702|
-|eval_accuracy|0.718|0.506|0.684|0.7|
-|eval_precision_macro|0.718|0.501|0.686|0.701|
-|eval_recall_macro|0.719|0.501|0.687|0.702|
-|eval_precision_micro|0.718|0.506|0.684|0.7|
-|eval_recall_micro|0.718|0.506|0.684|0.7|
-|eval_runtime|8.805|0.188|1.873|7.442|
-|eval_samples_per_second|965.397|5039.361|1008.401|1015.398|
-|eval_steps_per_second|7.61|42.616|8.007|8.062|
-|Size of dataset|8500|946|1889|7557|
-
-### eval result
-|Datasets|asadfgglie/nli-zh-tw-all/test|asadfgglie/BanBan_2024-10-17-facial_expressions-nli/test|eval_dataset|test_dataset|
-| :---: | :---: | :---: | :---: | :---: |
-|eval_loss|0.511|0.701|0.539|0.528|
-|eval_f1_macro|0.717|0.488|0.684|0.7|
-|eval_f1_micro|0.718|0.506|0.684|0.7|
-|eval_accuracy_balanced|0.719|0.501|0.687|0.702|
-|eval_accuracy|0.718|0.506|0.684|0.7|
-|eval_precision_macro|0.718|0.501|0.686|0.701|
-|eval_recall_macro|0.719|0.501|0.687|0.702|
-|eval_precision_micro|0.718|0.506|0.684|0.7|
-|eval_recall_micro|0.718|0.506|0.684|0.7|
-|eval_runtime|8.405|0.176|1.864|7.407|
-|eval_samples_per_second|1011.367|5358.555|1013.595|1020.275|
-|eval_steps_per_second|7.972|45.315|8.049|8.101|
-|epoch|3.0|3.0|3.0|3.0|
-|Size of dataset|8500|946|1889|7557|
+| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Micro | Accuracy Balanced | Accuracy | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
+| 0.6275        | 0.17  | 200  | 0.6177          | 0.3647   | 0.5463   | 0.5039            | 0.5463   | 0.6163          | 0.5039       | 0.5463          | 0.5463       |
+| 0.5811        | 0.34  | 400  | 0.5808          | 0.5807   | 0.6194   | 0.5976            | 0.6194   | 0.6331          | 0.5976       | 0.6194          | 0.6194       |
+| 0.5769        | 0.51  | 600  | 0.5680          | 0.6564   | 0.6585   | 0.6703            | 0.6585   | 0.6796          | 0.6703       | 0.6585          | 0.6585       |
+| 0.5647        | 0.68  | 800  | 0.5634          | 0.6703   | 0.6728   | 0.6855            | 0.6728   | 0.6976          | 0.6855       | 0.6728          | 0.6728       |
+| 0.5607        | 0.85  | 1000 | 0.5720          | 0.6176   | 0.6448   | 0.6264            | 0.6448   | 0.6569          | 0.6264       | 0.6448          | 0.6448       |
+| 0.5645        | 1.02  | 1200 | 0.5617          | 0.6523   | 0.6601   | 0.6521            | 0.6601   | 0.6581          | 0.6521       | 0.6601          | 0.6601       |
+| 0.5665        | 1.19  | 1400 | 0.5479          | 0.6802   | 0.6840   | 0.6986            | 0.6840   | 0.7172          | 0.6986       | 0.6840          | 0.6840       |
+| 0.5432        | 1.35  | 1600 | 0.5540          | 0.6642   | 0.6665   | 0.6644            | 0.6665   | 0.6641          | 0.6644       | 0.6665          | 0.6665       |
+| 0.5427        | 1.52  | 1800 | 0.5520          | 0.6533   | 0.6617   | 0.6532            | 0.6617   | 0.6601          | 0.6532       | 0.6617          | 0.6617       |
+| 0.5453        | 1.69  | 2000 | 0.5487          | 0.6756   | 0.6781   | 0.6755            | 0.6781   | 0.6757          | 0.6755       | 0.6781          | 0.6781       |
+| 0.5528        | 1.86  | 2200 | 0.5492          | 0.6720   | 0.6771   | 0.6713            | 0.6771   | 0.6747          | 0.6713       | 0.6771          | 0.6771       |
+| 0.531         | 2.03  | 2400 | 0.5476          | 0.6799   | 0.6803   | 0.6882            | 0.6803   | 0.6911          | 0.6882       | 0.6803          | 0.6803       |
+| 0.5199        | 2.2   | 2600 | 0.5454          | 0.6823   | 0.6824   | 0.6863            | 0.6824   | 0.6856          | 0.6863       | 0.6824          | 0.6824       |
+| 0.535         | 2.37  | 2800 | 0.5441          | 0.6797   | 0.6803   | 0.6817            | 0.6803   | 0.6804          | 0.6817       | 0.6803          | 0.6803       |
+| 0.5246        | 2.54  | 3000 | 0.5453          | 0.6746   | 0.6750   | 0.6771            | 0.6750   | 0.6759          | 0.6771       | 0.6750          | 0.6750       |
+| 0.5405        | 2.71  | 3200 | 0.5408          | 0.6824   | 0.6861   | 0.6819            | 0.6861   | 0.6836          | 0.6819       | 0.6861          | 0.6861       |
+| 0.5414        | 2.88  | 3400 | 0.5404          | 0.6826   | 0.6834   | 0.6841            | 0.6834   | 0.6828          | 0.6841       | 0.6834          | 0.6834       |
+
 
 ### Framework versions
 

config.json

@@ -27,7 +27,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": "4.33.3",
   "type_vocab_size": 2,
   "use_cache": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb3aaef3d30e2b57474be8170ba528a2d3c3a022b7f57c2a4847230554f1b531
-size 90891822
+oid sha256:cc9784ccb8ade0cd06803fc824d515cc4d2dd31b1976be8e15a4e134ba7d61f1
+size 45463854