Update README.md

README.md

@@ -1,58 +1,61 @@
----
-base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
-library_name: peft
-license: llama3.1
-tags:
-- trl
-- sft
-- unsloth
-- generated_from_trainer
-model-index:
-- name: WooWoof_AI_Vision
- 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. -->
-
-# WooWoof_AI_Vision
-
-This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) on an unknown dataset.
-
-## 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: 0.0003
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 3407
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 10
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.13.1
-- Transformers 4.45.2
-- Pytorch 2.3.1
-- Datasets 3.0.0
+---
+base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- unsloth
+- generated_from_trainer
+- endpoints
+- transformers
+- text-generation-interface
+model-index:
+- name: WooWoof_AI_Vision
+ 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. -->
+
+# WooWoof_AI_Vision
+
+This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) on an unknown dataset.
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 3407
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 10
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.13.1
+- Transformers 4.45.2
+- Pytorch 2.3.1
+- Datasets 3.0.0
 - Tokenizers 0.20.0