Model save

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+tags:
+- base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: tinyllama-career-guidance
+  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. -->
+
+# tinyllama-career-guidance
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1626
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use 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_ratio: 0.03
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1865        | 0.3106 | 100  | 1.1702          |
+| 1.1282        | 0.6211 | 200  | 1.1212          |
+| 1.0449        | 0.9317 | 300  | 1.0958          |
+| 0.9037        | 1.2422 | 400  | 1.0915          |
+| 0.9374        | 1.5528 | 500  | 1.0723          |
+| 0.9159        | 1.8634 | 600  | 1.0653          |
+| 0.7401        | 2.1739 | 700  | 1.1036          |
+| 0.734         | 2.4845 | 800  | 1.1013          |
+| 0.7165        | 2.7950 | 900  | 1.0976          |
+| 0.6412        | 3.1056 | 1000 | 1.1667          |
+| 0.6065        | 3.4161 | 1100 | 1.1626          |
+
+
+### Framework versions
+
+- PEFT 0.18.1
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 4.5.0
+- Tokenizers 0.20.3

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