Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: HuggingFaceH4/zephyr-7b-beta
+model-index:
+- name: skills_red_herring_metaphor_chat-lora
+  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. -->
+
+# skills_red_herring_metaphor_chat-lora
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2791
+
+## 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: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_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: 4.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3918        | 0.96  | 18   | 0.3151          |
+| 0.2528        | 1.97  | 37   | 0.2796          |
+| 0.207         | 2.99  | 56   | 0.2783          |
+| 0.1855        | 3.84  | 72   | 0.2791          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.37.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.1

all_results.json

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+{
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+    "eval_runtime": 4.3083,
+    "eval_samples": 100,
+    "eval_samples_per_second": 23.211,
+    "eval_steps_per_second": 3.017,
+    "train_loss": 0.4201711325181855,
+    "train_runtime": 412.3915,
+    "train_samples": 300,
+    "train_samples_per_second": 2.91,
+    "train_steps_per_second": 0.175
+}

eval_results.json

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+{
+    "epoch": 3.84,
+    "eval_loss": 0.2790655493736267,
+    "eval_runtime": 4.3083,
+    "eval_samples": 100,
+    "eval_samples_per_second": 23.211,
+    "eval_steps_per_second": 3.017
+}

train_results.json

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+{
+    "epoch": 3.84,
+    "train_loss": 0.4201711325181855,
+    "train_runtime": 412.3915,
+    "train_samples": 300,
+    "train_samples_per_second": 2.91,
+    "train_steps_per_second": 0.175
+}

trainer_state.json

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+  "best_model_checkpoint": null,
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+  "global_step": 72,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+}