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---
license: apache-2.0
base_model: openlm-research/open_llama_3b_v2
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- accuracy
model-index:
- name: openllama-3b-finance
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: financial_phrasebank
      type: financial_phrasebank
      config: sentences_50agree
      split: train
      args: sentences_50agree
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.4142561983471074
---

<!-- 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. -->

# openllama-3b-finance

This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the financial_phrasebank dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9007
- Accuracy: 0.4143

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 16.4346       | 0.01  | 20   | 2.5105          | 0.4143   |
| 1.8681        | 0.01  | 40   | 5.7312          | 0.4143   |
| 1.8542        | 0.02  | 60   | 5.0027          | 0.4143   |
| 2.3731        | 0.02  | 80   | 4.2958          | 0.4143   |
| 2.3024        | 0.03  | 100  | 4.9771          | 0.4143   |
| 2.6812        | 0.03  | 120  | 4.6762          | 0.4143   |
| 2.4304        | 0.04  | 140  | 5.2389          | 0.4143   |
| 2.561         | 0.04  | 160  | 4.4461          | 0.4143   |
| 2.08          | 0.05  | 180  | 4.6807          | 0.4143   |
| 4.0186        | 0.05  | 200  | 5.3431          | 0.4143   |
| 2.7261        | 0.06  | 220  | 4.9663          | 0.4143   |
| 1.7432        | 0.06  | 240  | 4.4788          | 0.4143   |
| 2.2759        | 0.07  | 260  | 5.6531          | 0.4143   |
| 1.8702        | 0.07  | 280  | 6.7118          | 0.4143   |
| 2.2412        | 0.08  | 300  | 5.0398          | 0.4143   |
| 1.1515        | 0.08  | 320  | 6.3377          | 0.4143   |
| 2.6582        | 0.09  | 340  | 5.0585          | 0.4143   |
| 2.1056        | 0.09  | 360  | 5.6544          | 0.4143   |
| 3.1513        | 0.1   | 380  | 3.8076          | 0.4143   |
| 2.0003        | 0.1   | 400  | 5.1281          | 0.4132   |
| 19.9181       | 0.11  | 420  | 35.4379         | 0.4143   |
| 29.2872       | 0.11  | 440  | 16.2178         | 0.4143   |
| 3.4213        | 0.12  | 460  | 13.0984         | 0.4143   |
| 1.3358        | 0.12  | 480  | 27.2436         | 0.4143   |
| 4.2725        | 0.13  | 500  | 24.0192         | 0.4143   |
| 4.9844        | 0.13  | 520  | 12.9378         | 0.1178   |
| 7.9312        | 0.14  | 540  | 10.8854         | 0.4143   |
| 1.5126        | 0.14  | 560  | 14.3267         | 0.4143   |
| 3.9021        | 0.15  | 580  | 10.0051         | 0.4143   |
| 3.7081        | 0.15  | 600  | 9.5176          | 0.1136   |
| 3.9107        | 0.16  | 620  | 7.2548          | 0.4143   |
| 2.8381        | 0.17  | 640  | 3.9992          | 0.4143   |
| 3.0625        | 0.17  | 660  | 4.3300          | 0.4143   |
| 1.812         | 0.18  | 680  | 10.6038         | 0.4143   |
| 6.9616        | 0.18  | 700  | 11.0092         | 0.4143   |
| 1.7157        | 0.19  | 720  | 14.8428         | 0.4143   |
| 4.7153        | 0.19  | 740  | 3.6624          | 0.4143   |
| 2.8871        | 0.2   | 760  | 5.7465          | 0.4143   |
| 2.4885        | 0.2   | 780  | 12.4440         | 0.4143   |
| 3.137         | 0.21  | 800  | 14.1504         | 0.4143   |
| 3.0503        | 0.21  | 820  | 14.1326         | 0.4143   |
| 2.9254        | 0.22  | 840  | 16.0438         | 0.1291   |
| 2.711         | 0.22  | 860  | 14.0977         | 0.4143   |
| 4.8591        | 0.23  | 880  | 9.3210          | 0.1281   |
| 2.8734        | 0.23  | 900  | 6.3782          | 0.4143   |
| 2.603         | 0.24  | 920  | 5.1658          | 0.4143   |
| 4.4641        | 0.24  | 940  | 3.9345          | 0.4143   |
| 2.3522        | 0.25  | 960  | 5.5901          | 0.1436   |
| 1.9584        | 0.25  | 980  | 5.0562          | 0.4143   |
| 2.679         | 0.26  | 1000 | 2.5428          | 0.4143   |
| 4.13          | 0.26  | 1020 | 1.3911          | 0.4143   |
| 3.4319        | 0.27  | 1040 | 8.2340          | 0.4143   |
| 1.9382        | 0.27  | 1060 | 8.4589          | 0.4143   |
| 2.2712        | 0.28  | 1080 | 6.0251          | 0.4143   |
| 1.8834        | 0.28  | 1100 | 2.4455          | 0.1436   |
| 0.9941        | 0.29  | 1120 | 8.7371          | 0.4143   |
| 3.3895        | 0.29  | 1140 | 6.2867          | 0.1426   |
| 2.2968        | 0.3   | 1160 | 10.3440         | 0.4143   |
| 4.9047        | 0.3   | 1180 | 8.0926          | 0.0816   |
| 4.6894        | 0.31  | 1200 | 3.7347          | 0.3698   |
| 2.9471        | 0.32  | 1220 | 4.9616          | 0.4143   |
| 2.9446        | 0.32  | 1240 | 5.8887          | 0.4143   |
| 1.6756        | 0.33  | 1260 | 7.0233          | 0.4143   |
| 2.0442        | 0.33  | 1280 | 7.5129          | 0.1322   |
| 3.7822        | 0.34  | 1300 | 3.1115          | 0.4143   |
| 2.0277        | 0.34  | 1320 | 5.9831          | 0.4143   |
| 2.624         | 0.35  | 1340 | 3.2104          | 0.4143   |
| 2.1893        | 0.35  | 1360 | 4.3662          | 0.1364   |
| 3.0973        | 0.36  | 1380 | 3.2219          | 0.4143   |
| 1.9835        | 0.36  | 1400 | 5.1431          | 0.4143   |
| 2.9711        | 0.37  | 1420 | 6.0129          | 0.4143   |
| 3.0045        | 0.37  | 1440 | 3.2609          | 0.4143   |
| 1.0503        | 0.38  | 1460 | 7.6840          | 0.4143   |
| 2.5946        | 0.38  | 1480 | 5.1945          | 0.4143   |
| 2.9221        | 0.39  | 1500 | 3.5226          | 0.4143   |
| 1.5624        | 0.39  | 1520 | 5.3887          | 0.4143   |
| 2.0339        | 0.4   | 1540 | 4.2434          | 0.4143   |
| 2.4852        | 0.4   | 1560 | 4.1994          | 0.4143   |
| 1.7668        | 0.41  | 1580 | 5.5635          | 0.4143   |
| 2.282         | 0.41  | 1600 | 5.1922          | 0.4143   |
| 3.2027        | 0.42  | 1620 | 3.9420          | 0.4143   |
| 2.5766        | 0.42  | 1640 | 4.9683          | 0.4143   |
| 2.268         | 0.43  | 1660 | 6.2959          | 0.4143   |
| 3.2091        | 0.43  | 1680 | 4.8009          | 0.4143   |
| 1.9654        | 0.44  | 1700 | 5.8059          | 0.4143   |
| 2.17          | 0.44  | 1720 | 5.4482          | 0.4143   |
| 2.2219        | 0.45  | 1740 | 4.4156          | 0.4143   |
| 1.9873        | 0.45  | 1760 | 5.1548          | 0.4143   |
| 2.51          | 0.46  | 1780 | 3.1345          | 0.4143   |
| 2.8949        | 0.46  | 1800 | 5.3419          | 0.4143   |
| 1.2941        | 0.47  | 1820 | 6.8446          | 0.4143   |
| 2.3475        | 0.48  | 1840 | 5.9935          | 0.4143   |
| 2.7907        | 0.48  | 1860 | 5.8123          | 0.4143   |
| 2.0038        | 0.49  | 1880 | 6.3927          | 0.4143   |
| 2.0324        | 0.49  | 1900 | 6.4023          | 0.4143   |
| 2.3211        | 0.5   | 1920 | 5.9480          | 0.4143   |
| 2.3883        | 0.5   | 1940 | 5.5011          | 0.4143   |
| 2.7683        | 0.51  | 1960 | 3.7333          | 0.4143   |
| 1.6062        | 0.51  | 1980 | 7.2244          | 0.1508   |
| 2.3866        | 0.52  | 2000 | 4.8682          | 0.4143   |
| 2.3527        | 0.52  | 2020 | 3.9189          | 0.4143   |
| 3.0126        | 0.53  | 2040 | 4.3666          | 0.4143   |
| 1.9683        | 0.53  | 2060 | 5.1474          | 0.4143   |
| 2.5018        | 0.54  | 2080 | 4.5417          | 0.4143   |
| 1.555         | 0.54  | 2100 | 5.0804          | 0.4143   |
| 1.6115        | 0.55  | 2120 | 5.1319          | 0.4143   |
| 2.2321        | 0.55  | 2140 | 5.3196          | 0.4143   |
| 2.3614        | 0.56  | 2160 | 4.0629          | 0.4143   |
| 1.6915        | 0.56  | 2180 | 5.8209          | 0.4143   |
| 2.4031        | 0.57  | 2200 | 4.3059          | 0.4143   |
| 1.5659        | 0.57  | 2220 | 5.1369          | 0.4143   |
| 1.2592        | 0.58  | 2240 | 5.4046          | 0.4143   |
| 1.5577        | 0.58  | 2260 | 5.8448          | 0.4143   |
| 1.7656        | 0.59  | 2280 | 5.6683          | 0.4143   |
| 1.5057        | 0.59  | 2300 | 5.7769          | 0.4143   |
| 2.3733        | 0.6   | 2320 | 5.0004          | 0.4143   |
| 2.118         | 0.6   | 2340 | 5.2127          | 0.4143   |
| 2.2942        | 0.61  | 2360 | 4.8589          | 0.4143   |
| 2.0524        | 0.61  | 2380 | 3.9148          | 0.4143   |
| 1.8707        | 0.62  | 2400 | 3.2284          | 0.4143   |
| 1.6804        | 0.62  | 2420 | 4.9466          | 0.4143   |
| 2.5137        | 0.63  | 2440 | 4.5307          | 0.4143   |
| 1.1823        | 0.64  | 2460 | 4.7444          | 0.4143   |
| 2.9106        | 0.64  | 2480 | 3.7200          | 0.4143   |
| 1.3376        | 0.65  | 2500 | 4.6969          | 0.4143   |
| 1.8187        | 0.65  | 2520 | 4.2458          | 0.4143   |
| 1.8444        | 0.66  | 2540 | 4.6003          | 0.4143   |
| 2.1427        | 0.66  | 2560 | 4.7394          | 0.4143   |
| 2.2483        | 0.67  | 2580 | 4.6959          | 0.4143   |
| 1.5997        | 0.67  | 2600 | 5.5665          | 0.4143   |
| 2.0095        | 0.68  | 2620 | 4.5815          | 0.4143   |
| 1.4664        | 0.68  | 2640 | 3.4096          | 0.4143   |
| 1.4128        | 0.69  | 2660 | 4.2751          | 0.4143   |
| 2.4907        | 0.69  | 2680 | 3.0278          | 0.4143   |
| 1.0484        | 0.7   | 2700 | 3.7867          | 0.4143   |
| 2.7561        | 0.7   | 2720 | 4.0402          | 0.4143   |
| 1.2491        | 0.71  | 2740 | 3.3789          | 0.4143   |
| 1.1299        | 0.71  | 2760 | 2.4017          | 0.4143   |
| 1.9811        | 0.72  | 2780 | 3.3625          | 0.4143   |
| 2.1781        | 0.72  | 2800 | 3.2631          | 0.4143   |
| 1.6062        | 0.73  | 2820 | 2.9967          | 0.4143   |
| 0.928         | 0.73  | 2840 | 5.6052          | 0.4143   |
| 2.5659        | 0.74  | 2860 | 4.8605          | 0.4143   |
| 1.4248        | 0.74  | 2880 | 4.8685          | 0.4143   |
| 2.3335        | 0.75  | 2900 | 4.5013          | 0.4143   |
| 1.8546        | 0.75  | 2920 | 3.7017          | 0.4143   |
| 1.5698        | 0.76  | 2940 | 3.8911          | 0.4143   |
| 1.8653        | 0.76  | 2960 | 4.2637          | 0.4143   |
| 1.4354        | 0.77  | 2980 | 5.1895          | 0.4143   |
| 2.0558        | 0.77  | 3000 | 4.4362          | 0.4143   |
| 2.0876        | 0.78  | 3020 | 4.6924          | 0.4143   |
| 2.4282        | 0.78  | 3040 | 4.6526          | 0.4143   |
| 1.4837        | 0.79  | 3060 | 5.2878          | 0.4143   |
| 2.2982        | 0.8   | 3080 | 5.0637          | 0.4143   |
| 2.2615        | 0.8   | 3100 | 4.6995          | 0.4143   |
| 1.7026        | 0.81  | 3120 | 4.4688          | 0.4143   |
| 1.6352        | 0.81  | 3140 | 4.8815          | 0.4143   |
| 2.782         | 0.82  | 3160 | 3.6835          | 0.4143   |
| 0.3105        | 0.82  | 3180 | 3.8391          | 0.4143   |
| 2.3949        | 0.83  | 3200 | 4.9408          | 0.4143   |
| 3.0385        | 0.83  | 3220 | 4.3234          | 0.4143   |
| 2.146         | 0.84  | 3240 | 3.7336          | 0.4143   |
| 1.9198        | 0.84  | 3260 | 4.2217          | 0.4143   |
| 0.7858        | 0.85  | 3280 | 4.4744          | 0.4143   |
| 0.7785        | 0.85  | 3300 | 5.0257          | 0.4143   |
| 2.7858        | 0.86  | 3320 | 4.8552          | 0.4143   |
| 2.0922        | 0.86  | 3340 | 4.2950          | 0.4143   |
| 1.9892        | 0.87  | 3360 | 3.9094          | 0.4143   |
| 2.2241        | 0.87  | 3380 | 3.7403          | 0.4143   |
| 2.7226        | 0.88  | 3400 | 3.6119          | 0.4143   |
| 1.5888        | 0.88  | 3420 | 3.8878          | 0.4143   |
| 2.7581        | 0.89  | 3440 | 4.0297          | 0.4143   |
| 1.5373        | 0.89  | 3460 | 4.0980          | 0.4143   |
| 1.5419        | 0.9   | 3480 | 4.0983          | 0.4143   |
| 1.7618        | 0.9   | 3500 | 4.2322          | 0.4143   |
| 1.8487        | 0.91  | 3520 | 4.3258          | 0.4143   |
| 1.0667        | 0.91  | 3540 | 4.1975          | 0.4143   |
| 2.0457        | 0.92  | 3560 | 4.2679          | 0.4143   |
| 1.8133        | 0.92  | 3580 | 4.1908          | 0.4143   |
| 1.5844        | 0.93  | 3600 | 4.1348          | 0.4143   |
| 1.7202        | 0.93  | 3620 | 4.1382          | 0.4143   |
| 1.7118        | 0.94  | 3640 | 4.1135          | 0.4143   |
| 1.208         | 0.95  | 3660 | 4.1240          | 0.4143   |
| 1.6942        | 0.95  | 3680 | 4.1595          | 0.4143   |
| 0.9358        | 0.96  | 3700 | 4.2914          | 0.4143   |
| 0.9632        | 0.96  | 3720 | 4.3381          | 0.4143   |
| 1.4406        | 0.97  | 3740 | 4.2782          | 0.4143   |
| 1.5333        | 0.97  | 3760 | 4.1569          | 0.4143   |
| 2.8499        | 0.98  | 3780 | 3.9997          | 0.4143   |
| 1.3767        | 0.98  | 3800 | 3.9549          | 0.4143   |
| 1.0074        | 0.99  | 3820 | 3.9189          | 0.4143   |
| 1.7482        | 0.99  | 3840 | 3.8958          | 0.4143   |
| 1.8591        | 1.0   | 3860 | 3.9007          | 0.4143   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3