Training completed!

README.md

@@ -0,0 +1,100 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-emotion
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: split
+      split: train[:2000]
+      args: split
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.89
+    - name: F1
+      type: f1
+      value: 0.8909727258350819
+---
+
+<!-- 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. -->
+
+# distilbert-base-uncased-finetuned-emotion
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6248
+- Accuracy: 0.89
+- Balanced accuracy: 0.8764
+- F1: 0.8910
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Balanced accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:------:|
+| 0.0269        | 1.0   | 25   | 0.4880          | 0.905    | 0.8890            | 0.9058 |
+| 0.0204        | 2.0   | 50   | 0.5177          | 0.89     | 0.8934            | 0.8896 |
+| 0.009         | 3.0   | 75   | 0.4983          | 0.89     | 0.8787            | 0.8911 |
+| 0.0089        | 4.0   | 100  | 0.5681          | 0.895    | 0.8724            | 0.8947 |
+| 0.0048        | 5.0   | 125  | 0.5800          | 0.88     | 0.8662            | 0.8819 |
+| 0.0023        | 6.0   | 150  | 0.5706          | 0.89     | 0.8959            | 0.8917 |
+| 0.0035        | 7.0   | 175  | 0.6086          | 0.895    | 0.8760            | 0.8955 |
+| 0.006         | 8.0   | 200  | 0.6522          | 0.88     | 0.9011            | 0.8811 |
+| 0.0017        | 9.0   | 225  | 0.5806          | 0.89     | 0.8715            | 0.8907 |
+| 0.0014        | 10.0  | 250  | 0.5809          | 0.885    | 0.9001            | 0.8868 |
+| 0.0011        | 11.0  | 275  | 0.5942          | 0.885    | 0.8729            | 0.8864 |
+| 0.001         | 12.0  | 300  | 0.5997          | 0.895    | 0.8826            | 0.8963 |
+| 0.0009        | 13.0  | 325  | 0.6006          | 0.89     | 0.8791            | 0.8912 |
+| 0.001         | 14.0  | 350  | 0.6135          | 0.885    | 0.9013            | 0.8857 |
+| 0.0009        | 15.0  | 375  | 0.6199          | 0.885    | 0.8740            | 0.8858 |
+| 0.0008        | 16.0  | 400  | 0.6257          | 0.885    | 0.8740            | 0.8858 |
+| 0.0007        | 17.0  | 425  | 0.6254          | 0.885    | 0.8740            | 0.8858 |
+| 0.0007        | 18.0  | 450  | 0.6273          | 0.885    | 0.8740            | 0.8858 |
+| 0.0007        | 19.0  | 475  | 0.6248          | 0.885    | 0.8740            | 0.8858 |
+| 0.0007        | 20.0  | 500  | 0.6248          | 0.89     | 0.8764            | 0.8910 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "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": "4.38.1",
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef77f2d3950eb47134ee707824f5da626219e6dacba73e7a43088b72be9177df
+size 267844872

runs/Mar02_16-13-06_5078234d80ac/events.out.tfevents.1709395996.5078234d80ac.586.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b37e68b12c214a558a9c18a48bfdafa3839d32f0094cb4361c5c545ff549a48
+size 17899

runs/Mar02_16-27-26_5078234d80ac/events.out.tfevents.1709396850.5078234d80ac.586.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c4b0c454a6c64240652c24d93dd470595cebb8b3a1031f9970915531f77b1c8
+size 17990

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce92d0c55ca33c12b745162fa7c88095d0db7652193807bed88c9ea65d773332
+size 4920