Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: alignment-handbook/zephyr-7b-sft-full
+model-index:
+- name: zephyr-7b-sft-qlora
+  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. -->
+
+# zephyr-7b-sft-qlora
+
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0377
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.099         | 1.0   | 25000 | 1.0377          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

adapter_model.safetensors

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 size 42002584

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 1.0377464294433594,
+    "eval_runtime": 0.4944,
+    "eval_samples": 5,
+    "eval_samples_per_second": 10.114,
+    "eval_steps_per_second": 2.023,
+    "train_loss": 1.1178027263641357,
+    "train_runtime": 49844.8454,
+    "train_samples": 200000,
+    "train_samples_per_second": 4.012,
+    "train_steps_per_second": 0.502
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 1.0377464294433594,
+    "eval_runtime": 0.4944,
+    "eval_samples": 5,
+    "eval_samples_per_second": 10.114,
+    "eval_steps_per_second": 2.023
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 1.1178027263641357,
+    "train_runtime": 49844.8454,
+    "train_samples": 200000,
+    "train_samples_per_second": 4.012,
+    "train_steps_per_second": 0.502
+}