Model save

README.md

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+---
+library_name: transformers
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- trl
+- simpo
+- generated_from_trainer
+model-index:
+- name: llama3instruct_-l5-10-0_3-1e-6-2_best
+  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. -->
+
+# llama3instruct_-l5-10-0_3-1e-6-2_best
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2716
+- Rewards/chosen: -7.9331
+- Rewards/rejected: -19.2874
+- Rewards/accuracies: 0.8614
+- Rewards/margins: 11.3543
+- Logps/rejected: -1.9287
+- Logps/chosen: -0.7933
+- Logits/rejected: -1.2977
+- Logits/chosen: -1.3755
+
+## 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: 1e-06
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 1.4299        | 0.8743 | 400  | 1.4682          | -8.3837        | -17.5861         | 0.8705             | 9.2024          | -1.7586        | -0.8384      | -1.2770         | -1.3300       |
+| 0.7858        | 1.7486 | 800  | 1.2716          | -7.9331        | -19.2874         | 0.8614             | 11.3543         | -1.9287        | -0.7933      | -1.2977         | -1.3755       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.9978142076502732,
+    "total_flos": 0.0,
+    "train_loss": 1.4686054226084402,
+    "train_runtime": 12099.7941,
+    "train_samples": 58558,
+    "train_samples_per_second": 9.679,
+    "train_steps_per_second": 0.076
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.44.2"
+}

train_results.json

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+{
+    "epoch": 1.9978142076502732,
+    "total_flos": 0.0,
+    "train_loss": 1.4686054226084402,
+    "train_runtime": 12099.7941,
+    "train_samples": 58558,
+    "train_samples_per_second": 9.679,
+    "train_steps_per_second": 0.076
+}