Giorgoss/watch-ft

README.md

@@ -0,0 +1,75 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+model-index:
+- name: watch-assistant-ft
+  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. -->
+
+# watch-assistant-ft
+
+This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6518
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9152        | 0.86  | 3    | 0.6749          |
+| 0.5722        | 2.0   | 7    | 0.6254          |
+| 0.6954        | 2.86  | 10   | 0.6108          |
+| 0.4812        | 4.0   | 14   | 0.5827          |
+| 0.5823        | 4.86  | 17   | 0.5844          |
+| 0.403         | 6.0   | 21   | 0.5804          |
+| 0.4876        | 6.86  | 24   | 0.5790          |
+| 0.3346        | 8.0   | 28   | 0.6032          |
+| 0.4191        | 8.86  | 31   | 0.6084          |
+| 0.295         | 10.0  | 35   | 0.6256          |
+| 0.3705        | 10.86 | 38   | 0.6355          |
+| 0.266         | 12.0  | 42   | 0.6599          |
+| 0.2982        | 12.86 | 45   | 0.6518          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
+  "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": 0.01,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "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 sha256:9f3da27fb9ebd8155cd82c727af0fc209483b80a043dafa81414ca41304e233d
+size 8397056

runs/Apr20_02-00-20_b8f798c06b02/events.out.tfevents.1713578426.b8f798c06b02.599.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7aba2af0f5150aa12d7e1006f34f6855d6201b24df30c277f820e31fba3bc04a
+size 11729

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa55dd48aac6300932de07fc758ec4fb2c60f909e3ddd0718b3e1fab67e8efce
+size 4920