Update README.md

README.md

@@ -1,63 +1,63 @@
----
-license: mit
-library_name: peft
-tags:
-- llama-factory
-- lora
-- generated_from_trainer
-base_model: microsoft/phi-1_5
-model-index:
-- name: train_2024-05-09-19-57-19
-  results: []
-datasets:
-- llamafactory/alpaca_en
-language:
-- en
----
-
-
-# Bahia 1.0 Based on Phi 1.5 trained using Alpaca_en
-
-This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the alpaca_en dataset.
-
-## Model description
-
-This is the First LLM coming from the Mediterranean city of Oran (nicknamed El-Bahia), and possibly the first North African LLM trained model, More to come from us soon ;-)
-
-## Intended uses & limitations
-
-This comes under an MIT lisence, enjoy!
-
-## Training and evaluation data
-
-Trained using Alpaca_en from Llama Factory 
-
-## Training procedure
-
-Locally trained on baremetal hardware on an AMD GPU under Linux Mint 21
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 3.0
-- mixed_precision_training: Native AMP
-
-### Training results
-
-Please check the files in the files and versions.
-
-### Framework versions
-
-- PEFT 0.10.0
-- Transformers 4.40.1
-- Pytorch 2.3.0+rocm5.7
-- Datasets 2.19.1
+---
+license: mit
+library_name: peft
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+base_model: microsoft/phi-1_5
+model-index:
+- name: train_2024-05-09-19-57-19
+  results: []
+datasets:
+- llamafactory/alpaca_en
+language:
+- en
+---
+
+
+# Bahia 1.0 Based on Phi 1.5 tuned using Alpaca_en
+
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the alpaca_en dataset.
+
+## Model description
+
+This is the First LLM coming from the Mediterranean city of Oran (nicknamed El-Bahia), and possibly the first North African LLM trained model, More to come from us soon ;-)
+
+## Intended uses & limitations
+
+This comes under an MIT lisence, enjoy!
+
+## Training and evaluation data
+
+Trained using Alpaca_en from Llama Factory 
+
+## Training procedure
+
+Locally trained on baremetal hardware on an AMD GPU under Linux Mint 21
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+Please check the files in the files and versions.
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.3.0+rocm5.7
+- Datasets 2.19.1
 - Tokenizers 0.19.1