Model save

README.md

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+---
+base_model: meta-llama/Llama-2-13b-hf
+library_name: peft
+license: llama2
+tags:
+- generated_from_trainer
+model-index:
+- name: llama2-13B-medium-spin-zephyr-data
+  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. -->
+
+# llama2-13B-medium-spin-zephyr-data
+
+This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None 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: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.1

all_results.json

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+{
+    "epoch": 2.0,
+    "train_loss": 0.18478660625349003,
+    "train_runtime": 27852.0483,
+    "train_samples": 50000,
+    "train_samples_per_second": 3.59,
+    "train_steps_per_second": 0.112
+}

train_results.json

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+{
+    "epoch": 2.0,
+    "train_loss": 0.18478660625349003,
+    "train_runtime": 27852.0483,
+    "train_samples": 50000,
+    "train_samples_per_second": 3.59,
+    "train_steps_per_second": 0.112
+}