End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- ckandemir/bitcoin_tweets_sentiment_kaggle
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bitcoin_tweet_sentiment_classification
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: ckandemir/bitcoin_tweets_sentiment_kaggle
+      type: ckandemir/bitcoin_tweets_sentiment_kaggle
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7150837988826816
+    - name: F1
+      type: f1
+      value: 0.7212944928862212
+---
+
+<!-- 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. -->
+
+# bitcoin_tweet_sentiment_classification
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ckandemir/bitcoin_tweets_sentiment_kaggle dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4542
+- Accuracy: 0.7151
+- F1: 0.7213
+
+## 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-06
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 72
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8941        | 0.65  | 50   | 0.8733          | 0.5698   | 0.5654 |
+| 0.8565        | 1.3   | 100  | 0.8042          | 0.6690   | 0.6031 |
+| 0.7896        | 1.96  | 150  | 0.7219          | 0.6802   | 0.5740 |
+| 0.7174        | 2.61  | 200  | 0.6379          | 0.7514   | 0.6955 |
+| 0.633         | 3.26  | 250  | 0.5745          | 0.7514   | 0.6930 |
+| 0.5824        | 3.91  | 300  | 0.5303          | 0.75     | 0.6919 |
+| 0.5365        | 4.57  | 350  | 0.4997          | 0.7514   | 0.7014 |
+| 0.5089        | 5.22  | 400  | 0.4766          | 0.7458   | 0.6991 |
+| 0.4893        | 5.87  | 450  | 0.4596          | 0.7486   | 0.7174 |
+| 0.463         | 6.52  | 500  | 0.4446          | 0.7514   | 0.7127 |
+| 0.4496        | 7.17  | 550  | 0.4407          | 0.7165   | 0.7048 |
+| 0.4357        | 7.83  | 600  | 0.4364          | 0.7277   | 0.7246 |
+| 0.4257        | 8.48  | 650  | 0.4324          | 0.7067   | 0.7115 |
+| 0.4029        | 9.13  | 700  | 0.4314          | 0.7277   | 0.7180 |
+| 0.3955        | 9.78  | 750  | 0.4354          | 0.7151   | 0.7164 |
+| 0.3886        | 10.43 | 800  | 0.4396          | 0.7221   | 0.7244 |
+| 0.3788        | 11.09 | 850  | 0.4363          | 0.7235   | 0.7194 |
+| 0.366         | 11.74 | 900  | 0.4528          | 0.7179   | 0.7215 |
+| 0.3298        | 12.39 | 950  | 0.4766          | 0.7053   | 0.7107 |
+| 0.3423        | 13.04 | 1000 | 0.4542          | 0.7151   | 0.7213 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:db1e8ebade6a08779564ad1b0c939a3ea55304d8d5c33de5a655606172c405d5
+size 437961724

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": {
+      "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_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4536