End of training

README.md

@@ -0,0 +1,78 @@
+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: sid321axn/Mistral-7B-text-to-sql-finetuned
+model-index:
+- name: mistral-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-finetune
+
+This model is a fine-tuned version of [sid321axn/Mistral-7B-text-to-sql-finetuned](https://huggingface.co/sid321axn/Mistral-7B-text-to-sql-finetuned) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3199
+
+## 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: 0.00025
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2637        | 25.0  | 25   | 0.2518          |
+| 0.0062        | 50.0  | 50   | 0.2701          |
+| 0.0001        | 75.0  | 75   | 0.3082          |
+| 0.0152        | 100.0 | 100  | 0.3453          |
+| 0.0362        | 125.0 | 125  | 0.3130          |
+| 0.0745        | 150.0 | 150  | 0.2873          |
+| 0.0064        | 175.0 | 175  | 0.2935          |
+| 0.0996        | 200.0 | 200  | 0.3202          |
+| 0.0279        | 225.0 | 225  | 0.3330          |
+| 0.0046        | 250.0 | 250  | 0.3273          |
+| 0.0012        | 275.0 | 275  | 0.3133          |
+| 0.0           | 300.0 | 300  | 0.3142          |
+| 0.0           | 325.0 | 325  | 0.3159          |
+| 0.0           | 350.0 | 350  | 0.3173          |
+| 0.0           | 375.0 | 375  | 0.3185          |
+| 0.0           | 400.0 | 400  | 0.3191          |
+| 0.0           | 425.0 | 425  | 0.3196          |
+| 0.0           | 450.0 | 450  | 0.3197          |
+| 0.0           | 475.0 | 475  | 0.3199          |
+| 0.0           | 500.0 | 500  | 0.3199          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,35 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "sid321axn/Mistral-7B-text-to-sql-finetuned",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "lm_head",
+    "down_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47ace59247bdf7f46fae581e7235dd44362adfe4eb16db073e1b0255b04b377b
+size 864513616

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d747187d488a22b616082cc3ca7a6df6f2351cb964f31f5436108a3bdf85421d
+size 4920