Model save

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-7b
+datasets:
+- generator
+model-index:
+- name: mental_health_counseling_merged_v0.1
+  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. -->
+
+# mental_health_counseling_merged_v0.1
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8574
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.8429        | 1.0000 | 10673 | 0.8574          |
+
+
+### Framework versions
+
+- PEFT 0.11.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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all_results.json

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+    "epoch": 0.9999531550100716,
+    "total_flos": 4.092531867595571e+18,
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+    "train_runtime": 58622.8041,
+    "train_samples": 97468,
+    "train_samples_per_second": 1.457,
+    "train_steps_per_second": 0.182
+}

runs/May17_03-53-04_instance-20240517-0630/events.out.tfevents.1715932833.instance-20240517-0630.565.0

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train_results.json

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+{
+    "epoch": 0.9999531550100716,
+    "total_flos": 4.092531867595571e+18,
+    "train_loss": 1.0194565681556524,
+    "train_runtime": 58622.8041,
+    "train_samples": 97468,
+    "train_samples_per_second": 1.457,
+    "train_steps_per_second": 0.182
+}