varun-v-rao
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End of training
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README.md
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---
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license: mit
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base_model: roberta-large
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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: roberta-large-lora-2.63M-snli-model2
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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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# roberta-large-lora-2.63M-snli-model2
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6398
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- Accuracy: 0.785
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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: 2e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 84
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3568 | 1.0 | 2146 | 0.2681 | 0.9052 |
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| 0.3292 | 2.0 | 4292 | 0.2502 | 0.9097 |
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| 0.3252 | 3.0 | 6438 | 0.2459 | 0.9102 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "roberta-large",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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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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"intermediate_size": 4096,
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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_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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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 sha256:09802d6c655e8eaefd61c8f89298916c2aa4b394d7f0c60b9b8c60eea716f204
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size 1421499516
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runs/Feb06_06-36-58_gl1527.arc-ts.umich.edu/events.out.tfevents.1707223377.gl1527.arc-ts.umich.edu.1263658.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:17b42a154ebf87bb203329fc47a1cf63a4874a1a21e96d8ad86722d2d0f39993
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size 1380
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