End of training

README.md

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+---
+license: mit
+base_model: roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-large-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. -->
+
+# roberta-large-fomc
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7442
+- Accuracy: 0.7004
+
+## 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    | 1.0825          | 0.4494   |
+| 1.0781        | 0.2149 | 26   | 1.0527          | 0.4899   |
+| 1.0921        | 0.4215 | 51   | 1.0702          | 0.4858   |
+| 1.1066        | 0.6281 | 76   | 1.0311          | 0.5101   |
+| 1.0294        | 0.8347 | 101  | 1.0326          | 0.5101   |
+| 0.9616        | 1.0    | 121  | 0.9298          | 0.5628   |
+| 0.9616        | 1.0413 | 126  | 0.9470          | 0.5385   |
+| 1.0352        | 1.2479 | 151  | 0.9495          | 0.5223   |
+| 0.8549        | 1.4545 | 176  | 0.7898          | 0.6721   |
+| 0.8056        | 1.6612 | 201  | 0.8293          | 0.6113   |
+| 0.7826        | 1.8678 | 226  | 0.7240          | 0.6842   |
+| 0.6788        | 2.0    | 242  | 0.7777          | 0.6964   |
+| 0.6884        | 2.0744 | 251  | 0.9586          | 0.6640   |
+| 0.683         | 2.2810 | 276  | 0.7253          | 0.7206   |
+| 0.7429        | 2.4876 | 301  | 0.8291          | 0.6640   |
+| 0.7062        | 2.6942 | 326  | 0.7772          | 0.6802   |
+| 0.6384        | 2.9008 | 351  | 0.7010          | 0.7166   |
+| 0.6207        | 3.0    | 363  | 0.7442          | 0.7004   |
+| 0.6537        | 3.1074 | 376  | 0.7558          | 0.7126   |
+| 0.5297        | 3.3140 | 401  | 1.0098          | 0.6721   |
+| 0.5263        | 3.5207 | 426  | 0.8447          | 0.6802   |
+| 0.5589        | 3.7273 | 451  | 0.6877          | 0.7247   |
+| 0.5511        | 3.9339 | 476  | 0.8100          | 0.7206   |
+| 0.6894        | 4.0    | 484  | 0.9658          | 0.6194   |
+| 0.6021        | 4.1405 | 501  | 0.7866          | 0.7206   |
+| 0.5072        | 4.3471 | 526  | 0.7796          | 0.7206   |
+| 0.4471        | 4.5537 | 551  | 0.7123          | 0.7368   |
+| 0.4323        | 4.7603 | 576  | 0.7742          | 0.7287   |
+| 0.3836        | 4.9669 | 601  | 0.8080          | 0.7490   |
+| 0.3836        | 5.0    | 605  | 0.8050          | 0.7530   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 1.12.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,33 @@
+{
+  "_name_or_path": "roberta-large",
+  "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": "dovish",
+    "1": "hawkish",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "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": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0b4f9a03895a95ee7f406da68dd54f6950749f3b7db5e66c90ee007e3001e7a8
+size 1421499516

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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+size 4527