End of training

README.md

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+---
+license: mit
+base_model: jinunyachhyon/MobileLLM_Finetune_onDialogueDataset
+tags:
+- generated_from_trainer
+model-index:
+- name: MobileLLM_Finetune_onDialogueDataset_32k
+  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. -->
+
+# MobileLLM_Finetune_onDialogueDataset_32k
+
+This model is a fine-tuned version of [jinunyachhyon/MobileLLM_Finetune_onDialogueDataset](https://huggingface.co/jinunyachhyon/MobileLLM_Finetune_onDialogueDataset) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0771
+
+## 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: 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0747        | 1.0   | 7355  | 0.0775          |
+| 0.0741        | 2.0   | 14710 | 0.0776          |
+| 0.0706        | 3.0   | 22065 | 0.0775          |
+| 0.0726        | 4.0   | 29420 | 0.0770          |
+| 0.0713        | 5.0   | 36775 | 0.0771          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

model.safetensors

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