Model save

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: lm43-course
+  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. -->
+
+# lm43-course
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7623
+- Rouge1: 0.2392
+- Rouge2: 0.1164
+- Rougel: 0.1976
+- Rougelsum: 0.1972
+- Gen Len: 19.0
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.9898        | 1.0   | 313  | 1.7485          | 0.2413 | 0.1167 | 0.2001 | 0.1996    | 19.0    |
+| 1.9173        | 2.0   | 626  | 1.7413          | 0.2376 | 0.1157 | 0.1959 | 0.1948    | 19.0    |
+| 1.8161        | 3.0   | 939  | 1.7374          | 0.2389 | 0.118  | 0.198  | 0.1975    | 18.9867 |
+| 1.8325        | 4.0   | 1252 | 1.7422          | 0.2376 | 0.1168 | 0.1974 | 0.197     | 19.0    |
+| 1.7772        | 5.0   | 1565 | 1.7380          | 0.246  | 0.1218 | 0.2025 | 0.2017    | 19.0    |
+| 1.8026        | 6.0   | 1878 | 1.7418          | 0.2413 | 0.1191 | 0.1991 | 0.1985    | 19.0    |
+| 1.7752        | 7.0   | 2191 | 1.7438          | 0.2396 | 0.1186 | 0.1975 | 0.1969    | 19.0    |
+| 1.7194        | 8.0   | 2504 | 1.7493          | 0.244  | 0.1185 | 0.2    | 0.1997    | 19.0    |
+| 1.7181        | 9.0   | 2817 | 1.7519          | 0.2368 | 0.1128 | 0.1945 | 0.1942    | 19.0    |
+| 1.675         | 10.0  | 3130 | 1.7546          | 0.2383 | 0.1149 | 0.1965 | 0.1962    | 19.0    |
+| 1.6874        | 11.0  | 3443 | 1.7574          | 0.2421 | 0.1171 | 0.1994 | 0.199     | 19.0    |
+| 1.6358        | 12.0  | 3756 | 1.7554          | 0.2422 | 0.1202 | 0.2016 | 0.2013    | 19.0    |
+| 1.6706        | 13.0  | 4069 | 1.7596          | 0.2412 | 0.1164 | 0.1983 | 0.1978    | 19.0    |
+| 1.6387        | 14.0  | 4382 | 1.7622          | 0.2403 | 0.1167 | 0.198  | 0.1979    | 19.0    |
+| 1.6524        | 15.0  | 4695 | 1.7620          | 0.238  | 0.1155 | 0.1961 | 0.196     | 19.0    |
+| 1.6706        | 16.0  | 5008 | 1.7623          | 0.2392 | 0.1164 | 0.1976 | 0.1972    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0d6bdd48bf8007329aa314e73004b5e91b2e475e00d29c0293e40e3c7411c8c
+oid sha256:ce20159f0b3f5ad8bb68b3e569898e076324a6c2f00ac2586b85fca3738edf4c
 size 242041896

runs/Jul10_07-18-25_1ca079df4f13/events.out.tfevents.1720595906.1ca079df4f13.241.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5f55e618870f4626488398fdb45716f143ad100bb44367474f424ececcb37f0b
-size 24211
+oid sha256:4decd091b05f4a96d8db271dc2d5ca0c3d6a5d38b3f32a0f5a488b784d34b0df
+size 25090