varun-v-rao
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End of training
Browse files- README.md +72 -0
- config.json +42 -0
- model.safetensors +3 -0
README.md
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---
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license: other
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base_model: varun-v-rao/opt-350m-fp-sick
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tags:
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- generated_from_trainer
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datasets:
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- snli
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metrics:
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- accuracy
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model-index:
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- name: opt-350m-fp-sick-lora-snli-model1
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: snli
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type: snli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8440357650883966
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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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# opt-350m-fp-sick-lora-snli-model1
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This model is a fine-tuned version of [varun-v-rao/opt-350m-fp-sick](https://huggingface.co/varun-v-rao/opt-350m-fp-sick) on the snli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4156
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- Accuracy: 0.8440
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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: 128
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- eval_batch_size: 64
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- seed: 8
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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: 1
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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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| 0.4823 | 1.0 | 4292 | 0.4156 | 0.8440 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.1+cu118
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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": "varun-v-rao/opt-350m-fp-sick",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForSequenceClassification"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": false,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 4096,
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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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"init_std": 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_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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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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"prefix": "</s>",
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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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"use_cache": true,
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"vocab_size": 50272,
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"word_embed_proj_dim": 512
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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 sha256:9da412c7f62a726196251b195aafc205f9c502d427205a0270d66c98f14c090f
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size 1324837112
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