Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024
+tags:
+- generated_from_trainer
+model-index:
+- name: tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024-infinity-instruct-7m-T2T_en-1024-v2
+  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. -->
+
+# tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024-infinity-instruct-7m-T2T_en-1024-v2
+
+This model is a fine-tuned version of [BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024](https://huggingface.co/BEE-spoke-data/tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1160
+- Num Input Tokens Seen: 785755388
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 6969
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Input Tokens Seen |
+|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
+| 1.234         | 0.0969 | 2000  | 1.2439          | 78067836          |
+| 1.2248        | 0.1938 | 4000  | 1.2256          | 156868756         |
+| 1.2024        | 0.2907 | 6000  | 1.2009          | 235148092         |
+| 1.2074        | 0.3876 | 8000  | 1.1777          | 313452856         |
+| 1.1617        | 0.4845 | 10000 | 1.1597          | 392316428         |
+| 1.1755        | 0.5815 | 12000 | 1.1437          | 471101508         |
+| 1.1473        | 0.6784 | 14000 | 1.1321          | 549831184         |
+| 1.1743        | 0.7753 | 16000 | 1.1244          | 628937800         |
+| 1.137         | 0.8722 | 18000 | 1.1179          | 707117360         |
+| 1.0713        | 0.9691 | 20000 | 1.1160          | 785755388         |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 3,
+  "eos_token_id": 2,
+  "pad_token_id": 3,
+  "transformers_version": "4.44.2"
+}