End of training

README.md

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+---
+license: bigcode-openrail-m
+base_model: bigcode/starcoder
+tags:
+- generated_from_trainer
+model-index:
+- name: moe_test
+  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. -->
+
+# moe_test
+
+This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1210
+- Learning Rate: 0.0
+
+## 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: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- training_steps: 700
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rate   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1429        | 0.07  | 50   | 0.1353          | 4e-05  |
+| 0.1442        | 0.14  | 100  | 0.1355          | 0.0000 |
+| 0.1392        | 0.21  | 150  | 0.1331          | 0.0000 |
+| 0.1398        | 0.29  | 200  | 0.1302          | 0.0000 |
+| 0.1428        | 0.36  | 250  | 0.1281          | 0.0000 |
+| 0.137         | 1.01  | 300  | 0.1259          | 0.0000 |
+| 0.1439        | 1.08  | 350  | 0.1245          | 0.0000 |
+| 0.1422        | 1.15  | 400  | 0.1253          | 0.0000 |
+| 0.137         | 1.22  | 450  | 0.1219          | 0.0000 |
+| 0.1397        | 1.29  | 500  | 0.1209          | 0.0000 |
+| 0.1405        | 1.36  | 550  | 0.1209          | 0.0000 |
+| 0.1376        | 2.01  | 600  | 0.1210          | 0.0000 |
+| 0.1427        | 2.08  | 650  | 0.1210          | 0.0000 |
+| 0.1404        | 2.15  | 700  | 0.1210          | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "bigcode/starcoder",
+  "activation_function": "gelu",
+  "architectures": [
+    "GPTBigCodeForCausalLM"
+  ],
+  "attention_softmax_in_fp32": true,
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "inference_runner": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_batch_size": null,
+  "max_sequence_length": null,
+  "model_type": "gpt_bigcode",
+  "multi_query": true,
+  "n_embd": 6144,
+  "n_head": 48,
+  "n_inner": 24576,
+  "n_layer": 40,
+  "n_positions": 8192,
+  "pad_key_length": true,
+  "pre_allocate_kv_cache": false,
+  "resid_pdrop": 0.1,
+  "scale_attention_softmax_in_fp32": true,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.32.1",
+  "use_cache": true,
+  "validate_runner_input": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.32.1"
+}

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