Model save

README.md

@@ -0,0 +1,66 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: mistralai/Mistral-7B-v0.1
+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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9523
+
+## 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: 64
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.913         | 1.0   | 17428 | 0.9523          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.1
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:490611bbe832172ec27ef45f5453822c45bfec9e1d6d7bb482b7fb51c0ad2c87
+oid sha256:9641a16e4b687b73bb5cf3e1c084d0441afb1b99f620e15aefdd4a07717a65ff
 size 83946192

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 0.952267587184906,
+    "eval_runtime": 5769.4894,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 2.675,
+    "eval_steps_per_second": 0.084,
+    "train_loss": 0.6846186562719382,
+    "train_runtime": 136321.6298,
+    "train_samples": 207865,
+    "train_samples_per_second": 1.023,
+    "train_steps_per_second": 0.128
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_loss": 0.952267587184906,
+    "eval_runtime": 5769.4894,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 2.675,
+    "eval_steps_per_second": 0.084
+}

runs/Jan17_05-23-51_GCRAZGDL1499/events.out.tfevents.1705469106.GCRAZGDL1499.527965.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b25ca12e7bb4b8683173d0117655dd36ab1de53cb538cd16ace3d9dc8f9b980
-size 397930
+oid sha256:0bd08cd4531b641b4dd58635f00ca63352f18c33cc2dedfa2cc7e2668df2e3fe
+size 399366

runs/Jan17_05-23-51_GCRAZGDL1499/events.out.tfevents.1705611197.GCRAZGDL1499.527965.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb584d409e2381cca55d0dc1ec6b2e5046d97c1cef904a723f8b6d97ef57fdee
+size 364

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.6846186562719382,
+    "train_runtime": 136321.6298,
+    "train_samples": 207865,
+    "train_samples_per_second": 1.023,
+    "train_steps_per_second": 0.128
+}