janedsa/updatedbertmodel

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2205
-- Accuracy: 0.9408
+- Loss: 0.3793
+- Accuracy: 0.9341
 
 ## Model description
 
@@ -49,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 350  | 0.6732          | 0.7256   |
-| 0.8901        | 2.0   | 700  | 0.4268          | 0.8644   |
-| 0.5196        | 3.0   | 1050 | 0.3613          | 0.8866   |
-| 0.5196        | 4.0   | 1400 | 0.2536          | 0.9273   |
-| 0.3007        | 5.0   | 1750 | 0.2205          | 0.9408   |
+| 0.3667        | 1.0   | 858  | 0.3561          | 0.8673   |
+| 0.217         | 2.0   | 1716 | 0.3205          | 0.9042   |
+| 0.16          | 3.0   | 2574 | 0.3807          | 0.9118   |
+| 0.1173        | 4.0   | 3432 | 0.3677          | 0.9318   |
+| 0.0944        | 5.0   | 4290 | 0.3793          | 0.9341   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "/content/model/checkpoint-4290",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -12,16 +12,14 @@
   "id2label": {
     "0": "Negative",
     "1": "Positive",
-    "2": "Mixed feelings",
-    "3": "unknown state"
+    "2": "Neutral"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "Mixed feelings": 2,
     "Negative": 0,
-    "Positive": 1,
-    "unknown state": 3
+    "Neutral": 2,
+    "Positive": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
@@ -32,7 +30,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.40.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

model.safetensors

@@ -1,3 +1,3 @@
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+size 437961724

runs/Apr23_09-20-46_708e8d2b0444/events.out.tfevents.1713864048.708e8d2b0444.495.0

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runs/Apr23_09-46-01_708e8d2b0444/events.out.tfevents.1713865562.708e8d2b0444.495.1

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training_args.bin

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+size 4984