Model save

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: fine-tune-llama2
+  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-llama2
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7668
+- Rouge1: 0.267
+- Rouge2: 0.1008
+- Rougel: 0.2321
+- Rougelsum: 0.2335
+- Gen Len: 19.36
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 301  | 0.8071          | 0.2304 | 0.0799 | 0.1958 | 0.1966    | 19.42   |
+| 0.8375        | 2.0   | 602  | 0.8009          | 0.2368 | 0.0763 | 0.1966 | 0.1978    | 19.41   |
+| 0.8375        | 3.0   | 903  | 0.7935          | 0.2496 | 0.08   | 0.2114 | 0.2119    | 19.57   |
+| 0.8146        | 4.0   | 1204 | 0.7900          | 0.2556 | 0.0874 | 0.217  | 0.2178    | 19.55   |
+| 0.7923        | 5.0   | 1505 | 0.7893          | 0.2565 | 0.089  | 0.2145 | 0.2157    | 19.46   |
+| 0.7923        | 6.0   | 1806 | 0.7846          | 0.2512 | 0.087  | 0.2134 | 0.2139    | 19.35   |
+| 0.7801        | 7.0   | 2107 | 0.7845          | 0.2499 | 0.082  | 0.2082 | 0.209     | 19.34   |
+| 0.7801        | 8.0   | 2408 | 0.7792          | 0.2464 | 0.0822 | 0.2102 | 0.2105    | 19.52   |
+| 0.7589        | 9.0   | 2709 | 0.7769          | 0.2433 | 0.0774 | 0.2049 | 0.206     | 19.32   |
+| 0.7457        | 10.0  | 3010 | 0.7746          | 0.2459 | 0.0767 | 0.2073 | 0.2082    | 19.32   |
+| 0.7457        | 11.0  | 3311 | 0.7740          | 0.245  | 0.0817 | 0.2086 | 0.2087    | 19.32   |
+| 0.7495        | 12.0  | 3612 | 0.7736          | 0.2491 | 0.0824 | 0.2138 | 0.2144    | 19.31   |
+| 0.7495        | 13.0  | 3913 | 0.7716          | 0.2541 | 0.0876 | 0.2172 | 0.2182    | 19.29   |
+| 0.7341        | 14.0  | 4214 | 0.7694          | 0.2654 | 0.096  | 0.2274 | 0.2289    | 19.34   |
+| 0.711         | 15.0  | 4515 | 0.7677          | 0.2672 | 0.1054 | 0.23   | 0.2312    | 19.35   |
+| 0.711         | 16.0  | 4816 | 0.7698          | 0.2774 | 0.106  | 0.2395 | 0.2412    | 19.34   |
+| 0.7158        | 17.0  | 5117 | 0.7693          | 0.269  | 0.0973 | 0.2301 | 0.2317    | 19.5    |
+| 0.7158        | 18.0  | 5418 | 0.7683          | 0.2696 | 0.1062 | 0.233  | 0.2342    | 19.3    |
+| 0.7016        | 19.0  | 5719 | 0.7694          | 0.2601 | 0.0971 | 0.2258 | 0.2271    | 19.29   |
+| 0.6977        | 20.0  | 6020 | 0.7687          | 0.269  | 0.0999 | 0.2328 | 0.2341    | 19.33   |
+| 0.6977        | 21.0  | 6321 | 0.7676          | 0.2658 | 0.099  | 0.2297 | 0.2304    | 19.32   |
+| 0.7028        | 22.0  | 6622 | 0.7674          | 0.2654 | 0.0986 | 0.2299 | 0.2308    | 19.29   |
+| 0.7028        | 23.0  | 6923 | 0.7676          | 0.2666 | 0.0993 | 0.231  | 0.2328    | 19.34   |
+| 0.6698        | 24.0  | 7224 | 0.7667          | 0.2658 | 0.0989 | 0.2296 | 0.2314    | 19.35   |
+| 0.6956        | 25.0  | 7525 | 0.7670          | 0.2669 | 0.0992 | 0.2295 | 0.2308    | 19.35   |
+| 0.6956        | 26.0  | 7826 | 0.7669          | 0.2618 | 0.0966 | 0.2259 | 0.2269    | 19.31   |
+| 0.6776        | 27.0  | 8127 | 0.7671          | 0.2658 | 0.0983 | 0.2296 | 0.2319    | 19.35   |
+| 0.6776        | 28.0  | 8428 | 0.7672          | 0.2661 | 0.0998 | 0.2311 | 0.2328    | 19.35   |
+| 0.6891        | 29.0  | 8729 | 0.7668          | 0.267  | 0.1008 | 0.2321 | 0.2335    | 19.35   |
+| 0.6772        | 30.0  | 9030 | 0.7668          | 0.267  | 0.1008 | 0.2321 | 0.2335    | 19.36   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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