Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: EleutherAI/pythia-70m
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: pythia-70m-tulu-v2-mix
+  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. -->
+
+# pythia-70m-tulu-v2-mix
+
+This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0855
+
+## 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: 16
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.5175        | 0.9999 | 2548 | 3.3655          |
+| 3.2614        | 1.9998 | 5096 | 3.0934          |
+| 3.2092        | 2.9997 | 7644 | 3.0855          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.999705680368881,
+    "total_flos": 2.04275798866133e+17,
+    "train_loss": 3.3574186354516877,
+    "train_runtime": 4757.4793,
+    "train_samples": 326149,
+    "train_samples_per_second": 205.665,
+    "train_steps_per_second": 1.607
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.44.2",
+  "use_cache": false
+}

train_results.json

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+{
+    "epoch": 2.999705680368881,
+    "total_flos": 2.04275798866133e+17,
+    "train_loss": 3.3574186354516877,
+    "train_runtime": 4757.4793,
+    "train_samples": 326149,
+    "train_samples_per_second": 205.665,
+    "train_steps_per_second": 1.607
+}