Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: mistralai/Mixtral-8x7B-v0.1
+model-index:
+- name: zephyr-7b-sft-qlora-1ep-25jan
+  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-1ep-25jan
+
+This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 1
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0           | 1.0   | 17428 | nan             |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": NaN,
+    "eval_runtime": 1929.665,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 7.997,
+    "eval_steps_per_second": 1.0,
+    "train_loss": 0.29661884888175544,
+    "train_runtime": 74749.5276,
+    "train_samples": 207865,
+    "train_samples_per_second": 1.865,
+    "train_steps_per_second": 0.233
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": NaN,
+    "eval_runtime": 1929.665,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 7.997,
+    "eval_steps_per_second": 1.0
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.29661884888175544,
+    "train_runtime": 74749.5276,
+    "train_samples": 207865,
+    "train_samples_per_second": 1.865,
+    "train_steps_per_second": 0.233
+}