Training in progress, step 500

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # classifier-chapter4
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2417
-- Accuracy: 0.9197
-- F1: 0.9198
+- Loss: 0.2447
+- Accuracy: 0.9225
+- F1: 0.9225
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 2
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2637          | 0.9137   | 0.9135 |
-| 0.3064        | 2.0   | 626  | 0.2417          | 0.9197   | 0.9198 |
+| No log        | 1.0   | 313  | 0.2626          | 0.9104   | 0.9101 |
+| 0.2954        | 2.0   | 626  | 0.2447          | 0.9225   | 0.9225 |
 
 
 ### Framework versions
 
-- Transformers 4.45.2
+- Transformers 4.46.3
 - Pytorch 2.5.1
-- Datasets 3.1.0
-- Tokenizers 0.20.1
+- Datasets 2.16.1
+- Tokenizers 0.20.3

config.json

@@ -1,13 +1,14 @@
 {
-  "_name_or_path": "distilbert/distilbert-base-uncased",
-  "activation": "gelu",
+  "_name_or_path": "bert-base-uncased",
   "architectures": [
-    "DistilBertForSequenceClassification"
+    "BertForSequenceClassification"
   ],
-  "attention_dropout": 0.1,
-  "dim": 768,
-  "dropout": 0.1,
-  "hidden_dim": 3072,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
@@ -15,23 +16,24 @@
     "3": "LABEL_3"
   },
   "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_2": 2,
     "LABEL_3": 3
   },
+  "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 6,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
   "pad_token_id": 0,
+  "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "qa_dropout": 0.1,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
-  "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.45.2",
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 267838720
+oid sha256:648d3d413f8960ecae1305ff9f15645fcff59bffcdb52c1e892e841510fdce22
+size 437964800

training_args.bin

@@ -1,3 +1,3 @@
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-size 5176
+oid sha256:c9921f1079952a1d87d142b0cca9514d05e25f99001c65ba1c243ea851eee9e1
+size 5240