End of training

README.md

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+---
+license: apache-2.0
+base_model: soleimanian/financial-roberta-large-sentiment
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: RoBERTa_FPB_finetuned_v2
+  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. -->
+
+# RoBERTa_FPB_finetuned_v2
+
+This model is a fine-tuned version of [soleimanian/financial-roberta-large-sentiment](https://huggingface.co/soleimanian/financial-roberta-large-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5080
+- Accuracy: 0.8660
+- F1: 0.8658
+- Precision: 0.8663
+- Recall: 0.8660
+
+## 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: 64
+- 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.3263        | 1.0   | 218  | 0.3427          | 0.8711   | 0.8725 | 0.8797    | 0.8711 |
+| 0.377         | 2.0   | 436  | 0.4305          | 0.8454   | 0.8458 | 0.8470    | 0.8454 |
+| 0.2243        | 3.0   | 654  | 0.5149          | 0.8763   | 0.8756 | 0.8769    | 0.8763 |
+| 0.1564        | 4.0   | 872  | 0.5080          | 0.8660   | 0.8658 | 0.8663    | 0.8660 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "soleimanian/financial-roberta-large-sentiment",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+oid sha256:d8accb416b2161122431038b0069cf3cb4f50a4179f74e0140568db8511ff46e
+size 1421499516

training_args.bin

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