End of training

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-try-finetune
+  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-try-finetune
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3805
+
+## 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: 2.5e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 18
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 5
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5606        | 0.57  | 50   | 0.8581          |
+| 0.5656        | 1.14  | 100  | 0.5153          |
+| 0.3651        | 1.71  | 150  | 0.4257          |
+| 0.2995        | 2.29  | 200  | 0.3750          |
+| 0.2008        | 2.86  | 250  | 0.3405          |
+| 0.1693        | 3.43  | 300  | 0.3282          |
+| 0.144         | 4.0   | 350  | 0.3156          |
+| 0.1112        | 4.57  | 400  | 0.3209          |
+| 0.0949        | 5.14  | 450  | 0.3346          |
+| 0.0801        | 5.71  | 500  | 0.3212          |
+| 0.0717        | 6.29  | 550  | 0.3288          |
+| 0.0579        | 6.86  | 600  | 0.3255          |
+| 0.0486        | 7.43  | 650  | 0.3359          |
+| 0.0495        | 8.0   | 700  | 0.3273          |
+| 0.0374        | 8.57  | 750  | 0.3617          |
+| 0.0377        | 9.14  | 800  | 0.3725          |
+| 0.0324        | 9.71  | 850  | 0.3697          |
+| 0.0338        | 10.29 | 900  | 0.3946          |
+| 0.0305        | 10.86 | 950  | 0.3605          |
+| 0.0289        | 11.43 | 1000 | 0.3805          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "k_proj",
+    "down_proj",
+    "o_proj",
+    "up_proj",
+    "lm_head",
+    "gate_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b7de627250caac00c7d33fd7d32afeaa5d1774347c09687799acc96bba9aa1c
+size 85100592

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39908e637f5f106e26f7e3334d880c2450a958759592281e29ecab61c295f0e5
+size 4600