fixed eos token

README.md

@@ -1,3 +1,149 @@
 ---
-license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: out
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: /home/layla/src/text-generation-webui/models/phi-2
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: /home/layla/src/Layla-datasets/datasets_formatted/base/dailydialog.topicalchat.teatime.openhermes.jsonl
+    ds_type: json # see other options below
+    type: sharegpt
+    conversation: vicuna_v1.1
+
+# datasets:
+#   - path: /home/layla/src/Layla-datasets/datasets_formatted/airoboros_alpaca.jsonl
+#     type: alpaca
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+output_dir: ./out
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0000005
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: True
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.05
+eval_steps: 0.1
+eval_sample_packing: true
+save_steps: 300
+debug:
+deepspeed: /home/layla/src/Layla-datasets/axolotl/configs/deepspeed/zero2.json # multi-gpu only
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+resize_token_embeddings_to_32x: true
+special_tokens:
+  bos_token: "<|endoftext|>"
+  eos_token: "<|endoftext|>"
+  unk_token: "<|endoftext|>"
+  pad_token: "<|endoftext|>"
+```
+
+</details><br>
+
+# out
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8072
+
+## 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-07
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 5
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 40
+- total_eval_batch_size: 10
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 17
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9616        | 0.0   | 1    | 1.0031          |
+| 0.9489        | 0.1   | 372  | 0.8825          |
+| 0.987         | 0.2   | 744  | 0.8487          |
+| 0.818         | 0.3   | 1116 | 0.8313          |
+| 0.8389        | 0.4   | 1488 | 0.8212          |
+| 0.9015        | 0.5   | 1860 | 0.8146          |
+| 0.8237        | 0.6   | 2232 | 0.8108          |
+| 0.7562        | 0.7   | 2604 | 0.8088          |
+| 0.8776        | 0.8   | 2976 | 0.8078          |
+| 0.8703        | 0.9   | 3348 | 0.8072          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.0
+- Datasets 2.17.1
+- Tokenizers 0.15.0

pytorch_model.bin

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