Create README.md

README.md

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+---
+base_model: ai21labs/AI21-Jamba-1.5-Mini
+datasets:
+- bitext/Bitext-combined-banking-wealth_management-mortgage_loans
+library_name: peft
+license: other
+tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: BT-Jamba-1.5-Mini-customer-support
+  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. -->
+
+# BT-Jamba-1.5-Mini-customer-support
+
+This model is a fine-tuned version of [ai21labs/AI21-Jamba-1.5-Mini](https://huggingface.co/ai21labs/AI21-Jamba-1.5-Mini) on the bitext/Bitext-combined-banking-wealth_management-mortgage_loans dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7288
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7424        | 0.9983 | 299  | 0.7416          |
+| 0.7224        | 2.0    | 599  | 0.7293          |
+| 0.7153        | 2.9950 | 897  | 0.7288          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 3.1.0
+- Tokenizers 0.19.1