Model save

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-convsearch-7b-v4
+  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. -->
+
+# mistral-convsearch-7b-v4
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4812
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5117        | 0.63  | 137  | 0.5122          |
+| 0.4733        | 1.63  | 275  | 0.4869          |
+| 0.4585        | 2.63  | 413  | 0.4761          |
+| 0.4408        | 3.63  | 551  | 0.4705          |
+| 0.4266        | 4.63  | 689  | 0.4692          |
+| 0.4087        | 5.63  | 827  | 0.4686          |
+| 0.399         | 6.63  | 965  | 0.4724          |
+| 0.3875        | 7.63  | 1103 | 0.4756          |
+| 0.3832        | 8.63  | 1240 | 0.4780          |
+| 0.3682        | 9.63  | 1378 | 0.4814          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.1+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

all_results.json

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+{
+    "epoch": 9.63,
+    "eval_loss": 0.4812127947807312,
+    "eval_runtime": 27.8382,
+    "eval_samples": 200,
+    "eval_samples_per_second": 7.184,
+    "eval_steps_per_second": 0.898,
+    "train_loss": 0.4462547982638737,
+    "train_runtime": 110414.5531,
+    "train_samples": 27870,
+    "train_samples_per_second": 2.524,
+    "train_steps_per_second": 0.02
+}

eval_results.json

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+{
+    "epoch": 9.63,
+    "eval_loss": 0.4812127947807312,
+    "eval_runtime": 27.8382,
+    "eval_samples": 200,
+    "eval_samples_per_second": 7.184,
+    "eval_steps_per_second": 0.898
+}

train_results.json

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+{
+    "epoch": 9.63,
+    "train_loss": 0.4462547982638737,
+    "train_runtime": 110414.5531,
+    "train_samples": 27870,
+    "train_samples_per_second": 2.524,
+    "train_steps_per_second": 0.02
+}