End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8326761828208897
+      value: 0.8564148315707318
     - name: Accuracy
       type: accuracy
-      value: 0.8486932599724897
+      value: 0.8638239339752407
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the financial_phrasebank dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6091
-- F1: 0.8327
-- Accuracy: 0.8487
+- Loss: 0.5833
+- F1: 0.8564
+- Accuracy: 0.8638
 
 ## Model description
 
@@ -69,15 +69,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
-| 0.5786        | 0.94  | 100  | 0.4136          | 0.8030 | 0.8246   |
-| 0.269         | 1.89  | 200  | 0.4105          | 0.8169 | 0.8494   |
-| 0.1201        | 2.83  | 300  | 0.5480          | 0.8319 | 0.8453   |
-| 0.0613        | 3.77  | 400  | 0.6091          | 0.8327 | 0.8487   |
+| 0.539         | 0.94  | 100  | 0.3789          | 0.8453 | 0.8597   |
+| 0.2523        | 1.89  | 200  | 0.4040          | 0.8387 | 0.8446   |
+| 0.1353        | 2.83  | 300  | 0.4799          | 0.8489 | 0.8624   |
+| 0.0524        | 3.77  | 400  | 0.5833          | 0.8564 | 0.8638   |
 
 
 ### Framework versions
 
-- Transformers 4.34.1
+- Transformers 4.35.0
 - Pytorch 2.1.0+cu118
 - Datasets 2.14.6
 - Tokenizers 0.14.1

config.json

@@ -10,16 +10,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
@@ -30,7 +30,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.34.1",
+  "transformers_version": "4.35.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

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+size 437961724

runs/Nov07_21-21-40_4e79fc0bd678/events.out.tfevents.1699392129.4e79fc0bd678.236.0

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training_args.bin

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