biden_stance_detection

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: twitter-roberta-base-sentiment-latest-biden-stance-1
+  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. -->
+
+# twitter-roberta-base-sentiment-latest-biden-stance-1
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4037
+- Accuracy: {'accuracy': 0.5688073394495413}
+- Precision: {'precision': 0.5540838852097131}
+- Recall: {'recall': 0.6640211640211641}
+- F1 Score: {'f1': 0.6040914560770156}
+
+## 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: 0.001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy               | Precision                         | Recall              | F1 Score                   |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:---------------------------------:|:-------------------:|:--------------------------:|
+| 0.4339        | 1.0   | 3600  | 0.4173          | {'accuracy': 0.8925}   | {'precision': 0.857630979498861}  | {'recall': 0.94125} | {'f1': 0.8974970202622169} |
+| 0.3848        | 2.0   | 7200  | 0.5757          | {'accuracy': 0.854375} | {'precision': 0.9341500765696784} | {'recall': 0.7625}  | {'f1': 0.8396421197522368} |
+| 0.4094        | 3.0   | 10800 | 0.3543          | {'accuracy': 0.904375} | {'precision': 0.8655367231638418} | {'recall': 0.9575}  | {'f1': 0.9091988130563798} |
+| 0.3937        | 4.0   | 14400 | 0.2576          | {'accuracy': 0.91125}  | {'precision': 0.9092039800995025} | {'recall': 0.91375} | {'f1': 0.9114713216957606} |
+| 0.3401        | 5.0   | 18000 | 0.2671          | {'accuracy': 0.91625}  | {'precision': 0.9291237113402062} | {'recall': 0.90125} | {'f1': 0.9149746192893401} |
+| 0.352         | 6.0   | 21600 | 0.2429          | {'accuracy': 0.91875}  | {'precision': 0.9294871794871795} | {'recall': 0.90625} | {'f1': 0.9177215189873418} |
+| 0.2883        | 7.0   | 25200 | 0.2857          | {'accuracy': 0.915625} | {'precision': 0.917189460476788}  | {'recall': 0.91375} | {'f1': 0.915466499686913}  |
+| 0.2894        | 8.0   | 28800 | 0.2270          | {'accuracy': 0.92375}  | {'precision': 0.9302030456852792} | {'recall': 0.91625} | {'f1': 0.9231738035264484} |
+| 0.282         | 9.0   | 32400 | 0.2518          | {'accuracy': 0.92}     | {'precision': 0.9189526184538653} | {'recall': 0.92125} | {'f1': 0.920099875156055}  |
+| 0.2485        | 10.0  | 36000 | 0.2351          | {'accuracy': 0.92375}  | {'precision': 0.9269521410579346} | {'recall': 0.92}    | {'f1': 0.9234629861982434} |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "cardiffnlp/twitter-roberta-base-sentiment-latest",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.01,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "out_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Apr22_02-16-56_Saideeps-Air.lan/events.out.tfevents.1713766616.Saideeps-Air.lan.52395.0

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
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+  "clean_up_tokenization_spaces": true,
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+  "errors": "replace",
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+  "pad_token": "</s>",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
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+}

training_args.bin

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