test101

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-stock-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-stock-finetune
+
+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: 0.6006
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.957         | 0.07  | 25   | 0.7369          |
+| 0.6947        | 0.13  | 50   | 0.6830          |
+| 0.68          | 0.2   | 75   | 0.6631          |
+| 0.6596        | 0.26  | 100  | 0.6512          |
+| 0.655         | 0.33  | 125  | 0.6424          |
+| 0.6355        | 0.4   | 150  | 0.6344          |
+| 0.6434        | 0.46  | 175  | 0.6297          |
+| 0.6307        | 0.53  | 200  | 0.6252          |
+| 0.6224        | 0.59  | 225  | 0.6215          |
+| 0.6128        | 0.66  | 250  | 0.6177          |
+| 0.6018        | 0.73  | 275  | 0.6148          |
+| 0.62          | 0.79  | 300  | 0.6118          |
+| 0.5959        | 0.86  | 325  | 0.6093          |
+| 0.6046        | 0.92  | 350  | 0.6062          |
+| 0.6062        | 0.99  | 375  | 0.6038          |
+| 0.5769        | 1.06  | 400  | 0.6053          |
+| 0.559         | 1.12  | 425  | 0.6027          |
+| 0.5599        | 1.19  | 450  | 0.6021          |
+| 0.5522        | 1.25  | 475  | 0.6010          |
+| 0.5547        | 1.32  | 500  | 0.6006          |
+
+
+### Framework versions
+
+- PEFT 0.9.1.dev0
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

@@ -0,0 +1,35 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": [
+    "down_proj",
+    "gate_proj",
+    "o_proj",
+    "lm_head",
+    "v_proj",
+    "k_proj",
+    "up_proj",
+    "q_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:f260341af3c5a3501294d86b879fd6192a4d48ec0d5890f7c1fcda0552188efc
+size 864513616

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0464207dc4a228aa156dd4e77277109ec5004f3b6b6769521b8ccb6ec50733bb
+size 4920