Training in progress, step 25, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "migtissera/Tess-v2.5-Phi-3-medium-128k-14B",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "qkv_proj",
+    "down_proj",
+    "o_proj",
+    "gate_up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7bbded54307be40990ea487c5eac800e3087a2245a2b1700185ef0bd5e0f73b
+size 445688440

last-checkpoint/added_tokens.json

@@ -0,0 +1,16 @@
+{
+  "<|assistant|>": 32001,
+  "<|end_of_text|>": 32012,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|im_end|>": 32011,
+  "<|im_start|>": 32013,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad5c50eecf8c78f5359366e33ee583356ec6e498c80c8932cf0dcddf146b5e9d
+size 891559354

last-checkpoint/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:038591e05425c5ee3d032e22556c8d9e6b7cfbf8693226f951165908253a3766
+size 15024

last-checkpoint/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:132e2f60555ba1229db21ebf2d3a71296a8fc4335e0fd320065596df9e5f9ccb
+size 15024

last-checkpoint/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d3323e6d6f5646b1b87bbfa64ef611bed7add4a0b388eddd0e87f4c4f33b7d3
+size 15024

last-checkpoint/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d78b2900720c5d01f1ef555176b3aa49b0cdb5adcd3561d40b834831f8ddc25
+size 15024

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f37b2aa490ccb1598b01e14cda36e9081f7ce646deab4d3c2d03de0d2169a755
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,156 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32013": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": false,
+  "model_max_length": 131072,
+  "pad_token": "<|end_of_text|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,233 @@
+{
+  "best_metric": 0.5269150733947754,
+  "best_model_checkpoint": "miner_id_24/checkpoint-25",
+  "epoch": 0.2828854314002829,
+  "eval_steps": 25,
+  "global_step": 25,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.011315417256011316,
+      "grad_norm": 2.1943609714508057,
+      "learning_rate": 5e-05,
+      "loss": 8.4242,
+      "step": 1
+    },
+    {
+      "epoch": 0.011315417256011316,
+      "eval_loss": 0.8281431198120117,
+      "eval_runtime": 44.4369,
+      "eval_samples_per_second": 13.39,
+      "eval_steps_per_second": 1.688,
+      "step": 1
+    },
+    {
+      "epoch": 0.02263083451202263,
+      "grad_norm": 2.6719741821289062,
+      "learning_rate": 0.0001,
+      "loss": 9.9323,
+      "step": 2
+    },
+    {
+      "epoch": 0.033946251768033946,
+      "grad_norm": 3.0640249252319336,
+      "learning_rate": 9.989294616193017e-05,
+      "loss": 10.7148,
+      "step": 3
+    },
+    {
+      "epoch": 0.04526166902404526,
+      "grad_norm": 3.3661434650421143,
+      "learning_rate": 9.957224306869053e-05,
+      "loss": 10.8608,
+      "step": 4
+    },
+    {
+      "epoch": 0.056577086280056574,
+      "grad_norm": 3.1292307376861572,
+      "learning_rate": 9.903926402016153e-05,
+      "loss": 10.2639,
+      "step": 5
+    },
+    {
+      "epoch": 0.06789250353606789,
+      "grad_norm": 2.260249614715576,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 9.5547,
+      "step": 6
+    },
+    {
+      "epoch": 0.07920792079207921,
+      "grad_norm": 2.1925923824310303,
+      "learning_rate": 9.73465064747553e-05,
+      "loss": 9.9299,
+      "step": 7
+    },
+    {
+      "epoch": 0.09052333804809053,
+      "grad_norm": 2.2138164043426514,
+      "learning_rate": 9.619397662556435e-05,
+      "loss": 10.326,
+      "step": 8
+    },
+    {
+      "epoch": 0.10183875530410184,
+      "grad_norm": 1.9601538181304932,
+      "learning_rate": 9.484363707663442e-05,
+      "loss": 9.7972,
+      "step": 9
+    },
+    {
+      "epoch": 0.11315417256011315,
+      "grad_norm": 2.3362250328063965,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 9.9417,
+      "step": 10
+    },
+    {
+      "epoch": 0.12446958981612447,
+      "grad_norm": 2.5164709091186523,
+      "learning_rate": 9.157348061512727e-05,
+      "loss": 10.341,
+      "step": 11
+    },
+    {
+      "epoch": 0.13578500707213578,
+      "grad_norm": 2.4237403869628906,
+      "learning_rate": 8.966766701456177e-05,
+      "loss": 9.0907,
+      "step": 12
+    },
+    {
+      "epoch": 0.1471004243281471,
+      "grad_norm": 2.3622500896453857,
+      "learning_rate": 8.759199037394887e-05,
+      "loss": 7.2716,
+      "step": 13
+    },
+    {
+      "epoch": 0.15841584158415842,
+      "grad_norm": 2.7323813438415527,
+      "learning_rate": 8.535533905932738e-05,
+      "loss": 8.3576,
+      "step": 14
+    },
+    {
+      "epoch": 0.16973125884016974,
+      "grad_norm": 2.5983994007110596,
+      "learning_rate": 8.296729075500344e-05,
+      "loss": 8.8552,
+      "step": 15
+    },
+    {
+      "epoch": 0.18104667609618105,
+      "grad_norm": 2.3216371536254883,
+      "learning_rate": 8.043807145043604e-05,
+      "loss": 8.3984,
+      "step": 16
+    },
+    {
+      "epoch": 0.19236209335219237,
+      "grad_norm": 1.7305115461349487,
+      "learning_rate": 7.777851165098012e-05,
+      "loss": 8.3699,
+      "step": 17
+    },
+    {
+      "epoch": 0.2036775106082037,
+      "grad_norm": 1.699713945388794,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 8.8624,
+      "step": 18
+    },
+    {
+      "epoch": 0.214992927864215,
+      "grad_norm": 1.6283882856369019,
+      "learning_rate": 7.211443451095007e-05,
+      "loss": 8.9808,
+      "step": 19
+    },
+    {
+      "epoch": 0.2263083451202263,
+      "grad_norm": 1.6349085569381714,
+      "learning_rate": 6.91341716182545e-05,
+      "loss": 9.9526,
+      "step": 20
+    },
+    {
+      "epoch": 0.2376237623762376,
+      "grad_norm": 1.7173153162002563,
+      "learning_rate": 6.607197326515808e-05,
+      "loss": 9.4905,
+      "step": 21
+    },
+    {
+      "epoch": 0.24893917963224893,
+      "grad_norm": 1.9035966396331787,
+      "learning_rate": 6.294095225512603e-05,
+      "loss": 9.6389,
+      "step": 22
+    },
+    {
+      "epoch": 0.26025459688826025,
+      "grad_norm": 1.9487980604171753,
+      "learning_rate": 5.9754516100806423e-05,
+      "loss": 9.2311,
+      "step": 23
+    },
+    {
+      "epoch": 0.27157001414427157,
+      "grad_norm": 2.21173095703125,
+      "learning_rate": 5.6526309611002594e-05,
+      "loss": 8.8328,
+      "step": 24
+    },
+    {
+      "epoch": 0.2828854314002829,
+      "grad_norm": 2.991882562637329,
+      "learning_rate": 5.327015646150716e-05,
+      "loss": 8.3784,
+      "step": 25
+    },
+    {
+      "epoch": 0.2828854314002829,
+      "eval_loss": 0.5269150733947754,
+      "eval_runtime": 45.0688,
+      "eval_samples_per_second": 13.202,
+      "eval_steps_per_second": 1.664,
+      "step": 25
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 50,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 25,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 1,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.478898116591616e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:892af885f005a01eef4e187d1ad4000ad0fde4defdcb7fc09c0c5753fcb4600a
+size 6776