End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: trainer_2f
+  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. -->
+
+# trainer_2f
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6931
+- Precision: 0.8208
+- Recall: 0.8151
+- F1: 0.8155
+- Accuracy: 0.8151
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.9137        | 0.27  | 30   | 1.7834          | 0.3695    | 0.3249 | 0.2790 | 0.3249   |
+| 1.512         | 0.54  | 60   | 1.2428          | 0.5385    | 0.5350 | 0.4896 | 0.5350   |
+| 1.1807        | 0.81  | 90   | 0.9631          | 0.7011    | 0.6947 | 0.6928 | 0.6947   |
+| 0.8497        | 1.08  | 120  | 0.7969          | 0.7606    | 0.7507 | 0.7473 | 0.7507   |
+| 0.5711        | 1.35  | 150  | 0.7019          | 0.7893    | 0.7787 | 0.7765 | 0.7787   |
+| 0.4998        | 1.62  | 180  | 0.6403          | 0.7888    | 0.7731 | 0.7725 | 0.7731   |
+| 0.3884        | 1.89  | 210  | 0.5716          | 0.8176    | 0.8067 | 0.8066 | 0.8067   |
+| 0.2752        | 2.16  | 240  | 0.6101          | 0.8224    | 0.8123 | 0.8132 | 0.8123   |
+| 0.2079        | 2.43  | 270  | 0.6416          | 0.8133    | 0.8011 | 0.7992 | 0.8011   |
+| 0.2261        | 2.7   | 300  | 0.6838          | 0.8186    | 0.8067 | 0.8051 | 0.8067   |
+| 0.1803        | 2.97  | 330  | 0.6147          | 0.8077    | 0.7983 | 0.7979 | 0.7983   |
+| 0.1032        | 3.24  | 360  | 0.6488          | 0.8265    | 0.8179 | 0.8174 | 0.8179   |
+| 0.0926        | 3.51  | 390  | 0.6014          | 0.8246    | 0.8207 | 0.8212 | 0.8207   |
+| 0.0869        | 3.78  | 420  | 0.6537          | 0.8406    | 0.8347 | 0.8352 | 0.8347   |
+| 0.0581        | 4.05  | 450  | 0.6726          | 0.8152    | 0.8095 | 0.8101 | 0.8095   |
+| 0.0353        | 4.32  | 480  | 0.6954          | 0.8022    | 0.7983 | 0.7979 | 0.7983   |
+| 0.0492        | 4.59  | 510  | 0.6907          | 0.8203    | 0.8151 | 0.8153 | 0.8151   |
+| 0.0275        | 4.86  | 540  | 0.6936          | 0.8141    | 0.8095 | 0.8096 | 0.8095   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "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,
+  "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": "4.39.3",
+  "vocab_size": 30522
+}

model.safetensors

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runs/Apr04_21-24-24_db8afe16531b/events.out.tfevents.1712265877.db8afe16531b.1028.0

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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
+    },
+    "101": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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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": 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

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