timelist7baugustdata

README.md

@@ -0,0 +1,66 @@
+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Llama-2-7B-fp16
+model-index:
+- name: timelist7baugustdata
+  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. -->
+
+# timelist7baugustdata
+
+This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9871
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 20
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 350
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3921        | 1.79  | 50   | 1.2835          |
+| 0.9999        | 3.58  | 100  | 1.0558          |
+| 0.8431        | 5.38  | 150  | 0.9720          |
+| 0.7712        | 7.17  | 200  | 0.9703          |
+| 0.7167        | 8.96  | 250  | 0.9683          |
+| 0.6836        | 10.75 | 300  | 0.9829          |
+| 0.6672        | 12.54 | 350  | 0.9871          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.38.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": null,
+  "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": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b91beb89b8a588ecd851d408fc098e4b34dec342004bb2e767662f3adec9fedd
+size 33593392

runs/Aug22_11-09-36_be8cf96a6f6d/events.out.tfevents.1724324978.be8cf96a6f6d.21811.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f2827c0a31ffa3d678ba73673443bb6544dc09cec998ecc034c04d84f3bf82f
+size 4842

runs/Aug22_11-21-08_be8cf96a6f6d/events.out.tfevents.1724325678.be8cf96a6f6d.25959.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:933114a694714ea3efbe78e69f141bd76361ba0c3ba06ae69a37fe10e9a77183
+size 8345

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bedc1f4312d80ea227f87588695509ac7421c993c865889a4d62bc37531956d8
+size 4920