intent-recog

README.md

@@ -8,7 +8,6 @@ metrics:
 model-index:
 - name: intent-recog
   results: []
-pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0005
-- F1: 1.0000
+- Loss: 0.0627
+- F1: 0.9874
 
 ## Model description
 
@@ -44,18 +43,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.0077        | 1.0   | 10471 | 0.0005          | 1.0000 |
+| 0.0449        | 1.0   | 10523 | 0.0631          | 0.9874 |
+| 0.0415        | 2.0   | 21046 | 0.0627          | 0.9874 |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
+- Transformers 4.33.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3

config.json

@@ -11,22 +11,18 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "Replace",
+    "0": "Payment",
     "1": "Order",
     "2": "Cancel",
-    "3": "info",
-    "4": "update",
-    "5": "payement"
+    "3": "Info"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "Cancel": 2,
+    "Info": 3,
     "Order": 1,
-    "Replace": 0,
-    "info": 3,
-    "payement": 5,
-    "update": 4
+    "Payment": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
@@ -37,7 +33,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.33.1",
+  "transformers_version": "4.33.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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