End of training

README.md

@@ -0,0 +1,77 @@
+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama_finetune_mc_20_cot
+  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. -->
+
+# llama_finetune_mc_20_cot
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0293
+
+## 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: 0.0001
+- 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: 5
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9129        | 1.0   | 70   | 1.6726          |
+| 0.2315        | 2.0   | 140  | 2.3392          |
+| 0.1771        | 3.0   | 210  | 2.4929          |
+| 0.1428        | 4.0   | 280  | 2.6548          |
+| 0.1106        | 5.0   | 350  | 2.6539          |
+| 0.0592        | 6.0   | 420  | 2.8574          |
+| 0.051         | 7.0   | 490  | 3.0477          |
+| 0.0568        | 8.0   | 560  | 3.1988          |
+| 0.0309        | 9.0   | 630  | 3.2646          |
+| 0.0235        | 10.0  | 700  | 3.4138          |
+| 0.0243        | 11.0  | 770  | 3.3431          |
+| 0.0259        | 12.0  | 840  | 3.5628          |
+| 0.0232        | 13.0  | 910  | 3.6910          |
+| 0.0221        | 14.0  | 980  | 3.6820          |
+| 0.0202        | 15.0  | 1050 | 3.8640          |
+| 0.0181        | 16.0  | 1120 | 3.9228          |
+| 0.0191        | 17.0  | 1190 | 3.9716          |
+| 0.0184        | 18.0  | 1260 | 4.0096          |
+| 0.0186        | 19.0  | 1330 | 4.0225          |
+| 0.0165        | 20.0  | 1400 | 4.0293          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.13.1
+- Tokenizers 0.14.1

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48f7b97f356d686acaccc8cdcd6cd4010541179ee49598f5c16fa0c02a9ba446
+size 160069834

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2bb6ce8b399c1f7640e53766e4f237e48a2a174cb1d007986ff652809d58334
+oid sha256:13a608f28ec17b20b26b2d343f1323cc4c138a95d34ef4bb769322eb318200ba
 size 159967880

all_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 20.0,
+    "train_loss": 0.14371956892378096,
+    "train_runtime": 5352.5783,
+    "train_samples_per_second": 1.046,
+    "train_steps_per_second": 0.262
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 20.0,
+    "train_loss": 0.14371956892378096,
+    "train_runtime": 5352.5783,
+    "train_samples_per_second": 1.046,
+    "train_steps_per_second": 0.262
+}