Model save

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: zephyr-8b-sft-full
+  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-8b-sft-full
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0747
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 16
+- total_train_batch_size: 128
+- total_eval_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: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.103         | 0.1052 | 100  | 1.0989          |
+| 1.0867        | 0.2103 | 200  | 1.0966          |
+| 1.111         | 0.3155 | 300  | 1.1012          |
+| 1.0974        | 0.4206 | 400  | 1.0966          |
+| 1.0898        | 0.5258 | 500  | 1.0920          |
+| 1.0749        | 0.6309 | 600  | 1.0876          |
+| 1.0847        | 0.7361 | 700  | 1.0831          |
+| 1.0749        | 0.8412 | 800  | 1.0778          |
+| 1.055         | 0.9464 | 900  | 1.0720          |
+| 0.9184        | 1.0515 | 1000 | 1.0817          |
+| 0.8955        | 1.1567 | 1100 | 1.0779          |
+| 0.914         | 1.2618 | 1200 | 1.0758          |
+| 0.9098        | 1.3670 | 1300 | 1.0698          |
+| 0.9126        | 1.4721 | 1400 | 1.0667          |
+| 0.9032        | 1.5773 | 1500 | 1.0604          |
+| 0.8882        | 1.6824 | 1600 | 1.0546          |
+| 0.8847        | 1.7876 | 1700 | 1.0490          |
+| 0.8831        | 1.8927 | 1800 | 1.0455          |
+| 0.8781        | 1.9979 | 1900 | 1.0413          |
+| 0.7197        | 2.1030 | 2000 | 1.0822          |
+| 0.7137        | 2.2082 | 2100 | 1.0841          |
+| 0.7115        | 2.3134 | 2200 | 1.0800          |
+| 0.7178        | 2.4185 | 2300 | 1.0789          |
+| 0.7063        | 2.5237 | 2400 | 1.0777          |
+| 0.6964        | 2.6288 | 2500 | 1.0755          |
+| 0.7121        | 2.7340 | 2600 | 1.0742          |
+| 0.7049        | 2.8391 | 2700 | 1.0748          |
+| 0.7024        | 2.9443 | 2800 | 1.0747          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.2.2+rocm5.7
+- Datasets 3.2.0
+- Tokenizers 0.20.3

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1194720315310080.0,
+    "train_loss": 0.8973418972260736,
+    "train_runtime": 76133.7056,
+    "train_samples": 207864,
+    "train_samples_per_second": 4.793,
+    "train_steps_per_second": 0.037
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.45.2"
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1194720315310080.0,
+    "train_loss": 0.8973418972260736,
+    "train_runtime": 76133.7056,
+    "train_samples": 207864,
+    "train_samples_per_second": 4.793,
+    "train_steps_per_second": 0.037
+}