Model save

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B
+datasets:
+- generator
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: llama3.1-8b-summarize-gpt4o-128k
+  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. -->
+
+# llama3.1-8b-summarize-gpt4o-128k
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0859
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0008        | 0.9990 | 519  | 2.1032          |
+| 0.9747        | 2.0    | 1039 | 2.1444          |
+| 0.9289        | 2.9990 | 1558 | 2.2517          |
+| 0.8818        | 4.0    | 2078 | 2.4632          |
+| 0.8109        | 4.9990 | 2597 | 2.7084          |
+| 0.7513        | 6.0    | 3117 | 2.9358          |
+| 0.7004        | 6.9990 | 3636 | 3.2769          |
+| 0.6466        | 8.0    | 4156 | 3.6948          |
+| 0.6132        | 8.9990 | 4675 | 3.9708          |
+| 0.5965        | 9.9904 | 5190 | 4.0859          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 9.990375360923965,
+    "total_flos": 7.743588771836199e+18,
+    "train_loss": 0.8018066772835792,
+    "train_runtime": 21791.6644,
+    "train_samples": 129221,
+    "train_samples_per_second": 7.627,
+    "train_steps_per_second": 0.238
+}

train_results.json

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+{
+    "epoch": 9.990375360923965,
+    "total_flos": 7.743588771836199e+18,
+    "train_loss": 0.8018066772835792,
+    "train_runtime": 21791.6644,
+    "train_samples": 129221,
+    "train_samples_per_second": 7.627,
+    "train_steps_per_second": 0.238
+}