End of training

README.md

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+---
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: NousResearch/Llama-2-7b-hf
+model-index:
+- name: llama2-7b-text-to-sql
+  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. -->
+
+# llama2-7b-text-to-sql
+
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4179
+- Rouge Scores: {'rouge1': 0.9526993709609907, 'rouge2': 0.8978075478140412, 'rougeL': 0.9174568046902766, 'rougeLsum': 0.952706382197062}
+- Bleu Scores: [0.9662302825731477, 0.9573342773221528, 0.94662296656899, 0.9353992025804378]
+- Gen Len: 137.1996
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge Scores                                                                                                                | Bleu Scores                                                                      | Gen Len  |
+|:-------------:|:-----:|:-----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:--------:|
+| 0.4199        | 1.0   | 4800  | 0.4083          | {'rouge1': 0.9515485575412006, 'rouge2': 0.8969346526448001, 'rougeL': 0.9158914697649283, 'rougeLsum': 0.9515858775802964} | [0.9648385943306861, 0.9555007745625858, 0.9446156319150308, 0.9332866028488176] | 137.1996 |
+| 0.3292        | 2.0   | 9600  | 0.3933          | {'rouge1': 0.9529916925938159, 'rouge2': 0.8991327462278231, 'rougeL': 0.9182485534934295, 'rougeLsum': 0.9530038043530137} | [0.9663304534733925, 0.9575607481530943, 0.9470553639271937, 0.936060216085945]  | 137.1996 |
+| 0.2569        | 3.0   | 14400 | 0.4179          | {'rouge1': 0.9526993709609907, 'rouge2': 0.8978075478140412, 'rougeL': 0.9174568046902766, 'rougeLsum': 0.952706382197062}  | [0.9662302825731477, 0.9573342773221528, 0.94662296656899, 0.9353992025804378]   | 137.1996 |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2