End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: trainer3
+  results: []
+---
+
+<!-- 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. -->
+
+# trainer3
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| 0.0053        | 0.57  | 30   | 0.0010          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0011        | 1.13  | 60   | 0.0004          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0006        | 1.7   | 90   | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0004        | 2.26  | 120  | 0.0002          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0003        | 2.83  | 150  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0002        | 3.4   | 180  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0002        | 3.96  | 210  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0002        | 4.53  | 240  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 5.09  | 270  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 5.66  | 300  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 6.23  | 330  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 6.79  | 360  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 7.36  | 390  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 7.92  | 420  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 8.49  | 450  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 9.06  | 480  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0001        | 9.62  | 510  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert-base-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "anger",
+    "1": "fear",
+    "2": "joy",
+    "3": "love",
+    "4": "neutral",
+    "5": "sadness",
+    "6": "surprise"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "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": "4.38.2",
+  "vocab_size": 28996
+}

model.safetensors

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runs/Mar14_20-55-19_18c119a900f6/events.out.tfevents.1710449726.18c119a900f6.18759.15

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "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
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+    "101": {
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+      "lstrip": false,
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+      "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": false,
+  "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

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