Model save

README.md

@@ -0,0 +1,76 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: alignment-handbook/zephyr-7b-sft-full
+model-index:
+- name: Temp-L1-SFT-L2-KTO
+  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. -->
+
+# Temp-L1-SFT-L2-KTO
+
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2213
+- Rewards/chosen: 0.2579
+- Rewards/rejected: -6.0725
+- Rewards/accuracies: 1.0
+- Rewards/margins: 6.3304
+- Logps/rejected: -652.1185
+- Logps/chosen: -0.1197
+- Logits/rejected: -2.6590
+- Logits/chosen: -2.5711
+
+## 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-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- 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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2255        | 0.2497 | 1000 | 0.2230          | 0.2551         | -5.4032          | 1.0                | 5.6583          | -585.1871      | -0.3988      | -2.6372         | -2.5514       |
+| 0.2252        | 0.4994 | 2000 | 0.2215          | 0.2576         | -5.9860          | 1.0                | 6.2436          | -643.4705      | -0.1526      | -2.6560         | -2.5690       |
+| 0.2264        | 0.7492 | 3000 | 0.2213          | 0.2579         | -6.0565          | 1.0                | 6.3144          | -650.5204      | -0.1267      | -2.6590         | -2.5715       |
+| 0.2262        | 0.9989 | 4000 | 0.2213          | 0.2579         | -6.0725          | 1.0                | 6.3304          | -652.1185      | -0.1197      | -2.6590         | -2.5711       |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.40.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:991529b79f049d9318897294df9fbe5df6ce4bf81ae59cbcf8fad79b48ed38e8
+oid sha256:94a5bf35062dd0a608f12322930cd60fdf0eedc09cdc68cac2c9bbb8c9d2ec59
 size 83946192

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9998751404669747,
+    "total_flos": 0.0,
+    "train_loss": 0.2426841035559699,
+    "train_runtime": 8271.4989,
+    "train_samples": 16017,
+    "train_samples_per_second": 1.936,
+    "train_steps_per_second": 0.484
+}

runs/May09_06-20-11_612e66badb5c/events.out.tfevents.1715235708.612e66badb5c.49874.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e0274c91818012596401b9577216b1bc141463bce9b0dec46c46e1f5d404446
-size 283559
+oid sha256:56199e2a91b39b52155a3c66e087790ad1c09356e4aec319863aec7a9ec568f2
+size 283913

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9998751404669747,
+    "total_flos": 0.0,
+    "train_loss": 0.2426841035559699,
+    "train_runtime": 8271.4989,
+    "train_samples": 16017,
+    "train_samples_per_second": 1.936,
+    "train_steps_per_second": 0.484
+}