safetensors generated_from_trainer base_model:meta-llama/Llama-2-7b-hf region:us
---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: fine-tune-radia-v1
  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. -->

# fine-tune-radia-v1

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4998

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1483        | 0.09  | 5    | 1.1421          |
| 1.1815        | 0.17  | 10   | 1.1398          |
| 1.1381        | 0.26  | 15   | 1.1355          |
| 1.1292        | 0.34  | 20   | 1.1281          |
| 1.0458        | 0.43  | 25   | 1.1161          |
| 1.0865        | 0.52  | 30   | 1.0966          |
| 1.0936        | 0.6   | 35   | 1.0627          |
| 1.0503        | 0.69  | 40   | 1.0142          |
| 0.9561        | 0.78  | 45   | 0.9525          |
| 0.9792        | 0.86  | 50   | 0.8784          |
| 0.8311        | 0.95  | 55   | 0.8306          |
| 0.8196        | 1.03  | 60   | 0.8108          |
| 0.7419        | 1.12  | 65   | 0.7988          |
| 0.8127        | 1.21  | 70   | 0.7876          |
| 0.7911        | 1.29  | 75   | 0.7769          |
| 0.7611        | 1.38  | 80   | 0.7659          |
| 0.7468        | 1.47  | 85   | 0.7534          |
| 0.7334        | 1.55  | 90   | 0.7389          |
| 0.7112        | 1.64  | 95   | 0.7180          |
| 0.7098        | 1.72  | 100  | 0.7032          |
| 0.6907        | 1.81  | 105  | 0.6859          |
| 0.6999        | 1.9   | 110  | 0.6696          |
| 0.6729        | 1.98  | 115  | 0.6541          |
| 0.6538        | 2.07  | 120  | 0.6415          |
| 0.5567        | 2.16  | 125  | 0.6302          |
| 0.5593        | 2.24  | 130  | 0.6220          |
| 0.6058        | 2.33  | 135  | 0.6070          |
| 0.5907        | 2.41  | 140  | 0.5963          |
| 0.6239        | 2.5   | 145  | 0.5879          |
| 0.6013        | 2.59  | 150  | 0.5762          |
| 0.4774        | 2.67  | 155  | 0.5640          |
| 0.4434        | 2.76  | 160  | 0.5566          |
| 0.5408        | 2.84  | 165  | 0.5455          |
| 0.5003        | 2.93  | 170  | 0.5383          |
| 0.5057        | 3.02  | 175  | 0.5307          |
| 0.444         | 3.1   | 180  | 0.5247          |
| 0.4443        | 3.19  | 185  | 0.5184          |
| 0.4213        | 3.28  | 190  | 0.5107          |
| 0.4798        | 3.36  | 195  | 0.5090          |
| 0.4392        | 3.45  | 200  | 0.5036          |
| 0.4078        | 3.53  | 205  | 0.5012          |
| 0.3802        | 3.62  | 210  | 0.4960          |
| 0.5128        | 3.71  | 215  | 0.4929          |
| 0.4806        | 3.79  | 220  | 0.4893          |
| 0.4421        | 3.88  | 225  | 0.4853          |
| 0.4077        | 3.97  | 230  | 0.4842          |
| 0.4018        | 4.05  | 235  | 0.4835          |
| 0.3358        | 4.14  | 240  | 0.4832          |
| 0.3444        | 4.22  | 245  | 0.4821          |
| 0.4141        | 4.31  | 250  | 0.4808          |
| 0.4197        | 4.4   | 255  | 0.4816          |
| 0.3877        | 4.48  | 260  | 0.4770          |
| 0.3193        | 4.57  | 265  | 0.4783          |
| 0.3672        | 4.66  | 270  | 0.4731          |
| 0.4183        | 4.74  | 275  | 0.4747          |
| 0.3834        | 4.83  | 280  | 0.4685          |
| 0.3415        | 4.91  | 285  | 0.4668          |
| 0.3261        | 5.0   | 290  | 0.4630          |
| 0.308         | 5.09  | 295  | 0.4800          |
| 0.4124        | 5.17  | 300  | 0.4702          |
| 0.303         | 5.26  | 305  | 0.4745          |
| 0.2956        | 5.34  | 310  | 0.4702          |
| 0.3457        | 5.43  | 315  | 0.4714          |
| 0.3472        | 5.52  | 320  | 0.4643          |
| 0.3447        | 5.6   | 325  | 0.4675          |
| 0.3006        | 5.69  | 330  | 0.4649          |
| 0.2983        | 5.78  | 335  | 0.4649          |
| 0.2822        | 5.86  | 340  | 0.4606          |
| 0.2892        | 5.95  | 345  | 0.4630          |
| 0.2897        | 6.03  | 350  | 0.4681          |
| 0.2688        | 6.12  | 355  | 0.4796          |
| 0.2686        | 6.21  | 360  | 0.4660          |
| 0.2701        | 6.29  | 365  | 0.4788          |
| 0.2438        | 6.38  | 370  | 0.4704          |
| 0.2524        | 6.47  | 375  | 0.4738          |
| 0.2868        | 6.55  | 380  | 0.4698          |
| 0.2882        | 6.64  | 385  | 0.4681          |
| 0.2674        | 6.72  | 390  | 0.4676          |
| 0.2946        | 6.81  | 395  | 0.4652          |
| 0.2631        | 6.9   | 400  | 0.4650          |
| 0.3074        | 6.98  | 405  | 0.4579          |
| 0.2277        | 7.07  | 410  | 0.4789          |
| 0.2542        | 7.16  | 415  | 0.4787          |
| 0.2099        | 7.24  | 420  | 0.4801          |
| 0.2146        | 7.33  | 425  | 0.4846          |
| 0.2354        | 7.41  | 430  | 0.4738          |
| 0.2417        | 7.5   | 435  | 0.4787          |
| 0.2468        | 7.59  | 440  | 0.4779          |
| 0.2207        | 7.67  | 445  | 0.4747          |
| 0.2407        | 7.76  | 450  | 0.4759          |
| 0.2635        | 7.84  | 455  | 0.4760          |
| 0.2173        | 7.93  | 460  | 0.4674          |
| 0.2301        | 8.02  | 465  | 0.4819          |
| 0.1849        | 8.1   | 470  | 0.5009          |
| 0.1803        | 8.19  | 475  | 0.4845          |
| 0.2169        | 8.28  | 480  | 0.4934          |
| 0.1835        | 8.36  | 485  | 0.4942          |
| 0.2192        | 8.45  | 490  | 0.4870          |
| 0.2121        | 8.53  | 495  | 0.4918          |
| 0.2181        | 8.62  | 500  | 0.4885          |
| 0.1984        | 8.71  | 505  | 0.4849          |
| 0.2049        | 8.79  | 510  | 0.4879          |
| 0.1923        | 8.88  | 515  | 0.4867          |
| 0.2313        | 8.97  | 520  | 0.4863          |
| 0.1874        | 9.05  | 525  | 0.4918          |
| 0.1658        | 9.14  | 530  | 0.5046          |
| 0.1817        | 9.22  | 535  | 0.5011          |
| 0.2038        | 9.31  | 540  | 0.4944          |
| 0.1927        | 9.4   | 545  | 0.4974          |
| 0.1712        | 9.48  | 550  | 0.5054          |
| 0.1853        | 9.57  | 555  | 0.5051          |
| 0.1685        | 9.66  | 560  | 0.5006          |
| 0.1601        | 9.74  | 565  | 0.4977          |
| 0.1611        | 9.83  | 570  | 0.4978          |
| 0.1873        | 9.91  | 575  | 0.4992          |
| 0.1957        | 10.0  | 580  | 0.4998          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0
