End of training

README.md

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+---
+base_model: prosusai/finbert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finbert-fomc
+  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. -->
+
+# finbert-fomc
+
+This model is a fine-tuned version of [prosusai/finbert](https://huggingface.co/prosusai/finbert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8286
+- Accuracy: 0.6154
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.0083 | 1    | 1.7351          | 0.4049   |
+| 1.7127        | 0.2149 | 26   | 1.4334          | 0.4777   |
+| 1.3539        | 0.4215 | 51   | 1.0763          | 0.5547   |
+| 1.0501        | 0.6281 | 76   | 0.9471          | 0.5547   |
+| 0.9614        | 0.8347 | 101  | 0.9471          | 0.5628   |
+| 0.988         | 1.0    | 121  | 0.9030          | 0.5709   |
+| 0.988         | 1.0413 | 126  | 0.8999          | 0.5547   |
+| 0.8862        | 1.2479 | 151  | 0.9215          | 0.5628   |
+| 0.8506        | 1.4545 | 176  | 0.8740          | 0.5506   |
+| 0.8825        | 1.6612 | 201  | 0.8604          | 0.6235   |
+| 0.8366        | 1.8678 | 226  | 0.8063          | 0.6194   |
+| 0.7666        | 2.0    | 242  | 0.8286          | 0.6154   |
+| 0.7039        | 2.0744 | 251  | 0.8652          | 0.6073   |
+| 0.5698        | 2.2810 | 276  | 1.0371          | 0.5911   |
+| 0.7683        | 2.4876 | 301  | 0.9662          | 0.5951   |
+| 0.528         | 2.6942 | 326  | 0.8984          | 0.6275   |
+| 0.6282        | 2.9008 | 351  | 0.9095          | 0.6154   |
+| 0.5638        | 3.0    | 363  | 0.8730          | 0.6761   |
+| 0.5208        | 3.1074 | 376  | 0.9042          | 0.6599   |
+| 0.4426        | 3.3140 | 401  | 1.0531          | 0.6235   |
+| 0.5795        | 3.5207 | 426  | 1.0305          | 0.6559   |
+| 0.363         | 3.7273 | 451  | 0.9831          | 0.6559   |
+| 0.4584        | 3.9339 | 476  | 0.9950          | 0.6437   |
+| 0.3794        | 4.0    | 484  | 1.0740          | 0.6154   |
+| 0.2579        | 4.1405 | 501  | 1.1667          | 0.6356   |
+| 0.1803        | 4.3471 | 526  | 1.0366          | 0.6883   |
+| 0.1824        | 4.5537 | 551  | 1.2625          | 0.6599   |
+| 0.2647        | 4.7603 | 576  | 1.2183          | 0.6761   |
+| 0.205         | 4.9669 | 601  | 1.1944          | 0.6721   |
+| 0.205         | 5.0    | 605  | 1.1959          | 0.6721   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 1.12.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "prosusai/finbert",
+  "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": "dovish",
+    "1": "hawkish",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "negative": 1,
+    "neutral": 2,
+    "positive": 0
+  },
+  "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": "4.40.2",
+  "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 sha256:7abc3ba4e83e398e093473f14fdfac99ca330d4b6175bb10aab03d6ad261b65e
+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_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": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:d000bfb8c601d8f8db1fc5cedc4f5f945caec9f7a2fdeaf6e52aa56b4082e425
+size 4527