Model save

README.md

@@ -0,0 +1,78 @@
+---
+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-closedqa-gpt4o-100k
+  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-closedqa-gpt4o-100k
+
+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: 3.8424
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9422        | 0.9991 | 582  | 1.9762          |
+| 0.8939        | 2.0    | 1165 | 2.0232          |
+| 0.8255        | 2.9991 | 1747 | 2.1086          |
+| 0.7584        | 4.0    | 2330 | 2.2541          |
+| 0.6928        | 4.9991 | 2912 | 2.4424          |
+| 0.6102        | 6.0    | 3495 | 2.7089          |
+| 0.5466        | 6.9991 | 4077 | 3.0554          |
+| 0.5038        | 8.0    | 4660 | 3.4053          |
+| 0.4624        | 8.9991 | 5242 | 3.6952          |
+| 0.454         | 9.9914 | 5820 | 3.8424          |
+
+
+### 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

@@ -0,0 +1,9 @@
+{
+    "epoch": 9.991416309012875,
+    "total_flos": 8.683561975386472e+18,
+    "train_loss": 0.6765515476977293,
+    "train_runtime": 24420.5896,
+    "train_samples": 111440,
+    "train_samples_per_second": 7.63,
+    "train_steps_per_second": 0.238
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 9.991416309012875,
+    "total_flos": 8.683561975386472e+18,
+    "train_loss": 0.6765515476977293,
+    "train_runtime": 24420.5896,
+    "train_samples": 111440,
+    "train_samples_per_second": 7.63,
+    "train_steps_per_second": 0.238
+}