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Model: AbeerMostafa/Novelty_Reviewer
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+tags:
+- generated_from_trainer
+
+model-index:
+- name: fine-tuned_models/Novelty_Reviewer
+  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.12.2`
+```yaml
+base_model: meta-llama/Llama-3.1-8B-Instruct
+
+#load_in_4bit: true
+
+#adapter: lora
+#lora_r: 16
+#lora_alpha: 32
+#lora_dropout: 0.05
+#lora_target_modules:
+#  - q_proj
+#  - v_proj
+#  - k_proj
+#  - o_proj
+
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+strict: false
+
+chat_template: llama3
+datasets:
+  - path: "Dataset_construction/tokenized_novelty_dataset_5_for_llama/train_full.parquet"
+    type:
+    ds_type: parquet
+
+dataset_prepared_path:
+val_set_size: 0.00
+output_dir: ./fine-tuned_models/Novelty_Reviewer
+
+dataset_processes: 16
+
+sequence_len: 32120
+sample_packing: false
+pad_to_sequence_len: true
+
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+flash_attention: true
+
+warmup_steps: 50
+evals_per_epoch: 0
+eval_table_size:
+saves_per_epoch: 2
+save_only_model: true
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>
+  eos_token: <|eot_id|>
+
+
+```
+
+</details><br>
+
+# fine-tuned_models/Novelty_Reviewer
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the Dataset_construction/tokenized_novelty_dataset_5_for_llama/train_full.parquet 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- training_steps: 2433
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.55.2
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.4