saurabh54/distilbert-base-uncased-lora-text-classification

README.md

@@ -1,10 +1,69 @@
 ---
-library_name: peft
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-lora-text-classification
+  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. -->
+
+# distilbert-base-uncased-lora-text-classification
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4902
+- Accuracy: {'accuracy': 0.5691906005221932}
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
 ## Training procedure
 
-### Framework versions
+### 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
 
-- PEFT 0.5.0
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                          |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|
+| 2.1699        | 1.0   | 767  | 1.9578          | {'accuracy': 0.34595300261096606} |
+| 1.7466        | 2.0   | 1534 | 1.6447          | {'accuracy': 0.43994778067885115} |
+| 1.5928        | 3.0   | 2301 | 1.6027          | {'accuracy': 0.48825065274151436} |
+| 1.46          | 4.0   | 3068 | 1.4771          | {'accuracy': 0.5039164490861618}  |
+| 1.3395        | 5.0   | 3835 | 1.4685          | {'accuracy': 0.5234986945169713}  |
+| 1.2109        | 6.0   | 4602 | 1.4587          | {'accuracy': 0.5509138381201044}  |
+| 1.0814        | 7.0   | 5369 | 1.4672          | {'accuracy': 0.5535248041775457}  |
+| 0.9708        | 8.0   | 6136 | 1.4799          | {'accuracy': 0.5626631853785901}  |
+| 0.9325        | 9.0   | 6903 | 1.4789          | {'accuracy': 0.5652741514360313}  |
+| 0.8056        | 10.0  | 7670 | 1.4902          | {'accuracy': 0.5691906005221932}  |
+
+
+### Framework versions
 
-- PEFT 0.5.0
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b6965523c7dd353c26d6d27c8a068102ca13962d1fba785d286cdcd29f114e16
+size 4091