End of training

README.md

@@ -0,0 +1,61 @@
+---
+base_model: Samuael/amt5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: amhmt5-base-finetuned-amt5
+  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. -->
+
+# amhmt5-base-finetuned-amt5
+
+This model is a fine-tuned version of [Samuael/amt5-base](https://huggingface.co/Samuael/amt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3710
+- eval_rouge1: 0.0
+- eval_rouge2: 0.0
+- eval_rougeL: 0.0
+- eval_rougeLsum: 0.0
+- eval_gen_len: 18.5905
+- eval_wer: 0.6072
+- eval_cer: 0.5393
+- eval_runtime: 4.0504
+- eval_samples_per_second: 88.633
+- eval_steps_per_second: 1.481
+- epoch: 4.0
+- step: 5672
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d63a49d45b89bbcc5993097d66e30b5d1132ecda5ff33e3a211265bc61db755c
+oid sha256:830df5d40ca66eaa34b3c5fbe80287922ee9cf8422407b23e92c955f8e575b41
 size 805078888