Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: princeton-nlp/Sheared-LLaMA-1.3B
+tags:
+- generated_from_trainer
+model-index:
+- name: llm2vec-da-mntp-sheared
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jealk/LLM2Vec/runs/2fgmtevb)
+# llm2vec-da-mntp-sheared
+
+This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on an unknown dataset.
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.21.1

config.json

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 {
   "_name_or_path": "princeton-nlp/Sheared-LLaMA-1.3B",
   "architectures": [
-    "LlamaBiModel"
+    "LlamaBiForMNTP"
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.1"
+}

model.safetensors

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