update model card README.md

README.md

@@ -1,20 +1,67 @@
 ---
-library_name: peft
+base_model: meta-llama/Llama-2-7b-chat-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-7b-orca
+  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. -->
+
+# llama-7b-orca
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4944
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
 ## Training procedure
 
+### Training hyperparameters
 
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: False
-- load_in_4bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-- llm_int8_has_fp16_weight: False
-- bnb_4bit_quant_type: nf4
-- bnb_4bit_use_double_quant: False
-- bnb_4bit_compute_dtype: float16
-### Framework versions
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6959        | 0.08  | 200  | 1.6441          |
+| 1.6234        | 0.17  | 400  | 1.5693          |
+| 1.5931        | 0.25  | 600  | 1.5452          |
+| 1.5003        | 0.34  | 800  | 1.5316          |
+| 1.5346        | 0.42  | 1000 | 1.5209          |
+| 1.5026        | 0.51  | 1200 | 1.5123          |
+| 1.5608        | 0.59  | 1400 | 1.5059          |
+| 1.5332        | 0.68  | 1600 | 1.5009          |
+| 1.5209        | 0.76  | 1800 | 1.4970          |
+| 1.4955        | 0.85  | 2000 | 1.4944          |
+
+
+### Framework versions
 
-- PEFT 0.5.0.dev0
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3