gpt2-tweet_sentiment_extraction
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README.md
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---
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library_name: transformers
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test_trainer
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# test_trainer
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8872
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- Accuracy: 0.72
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "gpt2",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2ForSequenceClassification"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"problem_type": "single_label_classification",
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:898adc4cb1ca1f9cef2a240f987a330c0d62153aa8930ec529351f689f11a18d
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size 497783504
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runs/Sep17_10-55-12_714d69f1d953/events.out.tfevents.1726570517.714d69f1d953.606.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:88dc014b3dbbb3a4c108ce21ebd31aa882f56613dc8a02f7a7a79c739b2acce2
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size 5842
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runs/Sep17_10-55-12_714d69f1d953/events.out.tfevents.1726571372.714d69f1d953.606.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ceff9a1a482ca7fd7c4d6fbd08decb4cd01b42fc89bf079b691152d08a343534
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size 411
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:efd68022c2a215eae6347ad18b0226ddd9e18dc3eba0a454ae149769e0d83650
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size 5176
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