Model save

README.md

@@ -0,0 +1,62 @@
+---
+license: other
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+datasets:
+- generator
+model-index:
+- name: gen-z-translate-llama-3-instruct-v1
+  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. -->
+
+# gen-z-translate-llama-3-instruct-v1
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 8
+- 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: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc37eec942b3130d4b0dcc1925c11417b2781c20b33943881d998c60e145da0f
+oid sha256:bcd5fcbc74dc3b260aa7099fb5e61890883ce071693dac09e2c6d64f75404d4e
 size 335604696

runs/May01_15-32-02_00bf547ebf93/events.out.tfevents.1714577533.00bf547ebf93.14124.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:945c3c21c1bd2731a9f153732e4874e3f86297f7fb3c46201bea5c88b1a81519
-size 4184
+oid sha256:467bea32af394849fc75b54951100e3ba672a839eca0860b7f7f8d7f19676935
+size 5623