End of training

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama_finetune_mc_20
+  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
+
+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: 4.4015
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9393        | 1.0   | 70   | 1.8240          |
+| 0.2414        | 2.0   | 140  | 2.5937          |
+| 0.126         | 3.0   | 210  | 2.8429          |
+| 0.0836        | 4.0   | 280  | 2.9219          |
+| 0.0872        | 5.0   | 350  | 3.2516          |
+| 0.0575        | 6.0   | 420  | 3.1180          |
+| 0.0482        | 7.0   | 490  | 3.4019          |
+| 0.0356        | 8.0   | 560  | 3.3709          |
+| 0.0305        | 9.0   | 630  | 3.5186          |
+| 0.0272        | 10.0  | 700  | 3.8218          |
+| 0.0243        | 11.0  | 770  | 3.7827          |
+| 0.0312        | 12.0  | 840  | 3.9016          |
+| 0.0259        | 13.0  | 910  | 4.0432          |
+| 0.027         | 14.0  | 980  | 4.1255          |
+| 0.0205        | 15.0  | 1050 | 4.1950          |
+| 0.0199        | 16.0  | 1120 | 4.2793          |
+| 0.0219        | 17.0  | 1190 | 4.3363          |
+| 0.0197        | 18.0  | 1260 | 4.3627          |
+| 0.0218        | 19.0  | 1330 | 4.3868          |
+| 0.0201        | 20.0  | 1400 | 4.4015          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.13.1
+- Tokenizers 0.14.1

adapter_model.bin

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adapter_model.safetensors

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all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.13616196308750658,
+    "train_runtime": 4658.3829,
+    "train_samples_per_second": 1.202,
+    "train_steps_per_second": 0.301
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 20.0,
+    "train_loss": 0.13616196308750658,
+    "train_runtime": 4658.3829,
+    "train_samples_per_second": 1.202,
+    "train_steps_per_second": 0.301
+}